Tag Archives: law enforcement software

crime analysis, crime map, crime mapping, Crime Technology Solutions, Investigation Software, Vendors

CrimeView and TriTech – Concerned? Maybe you should be.

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Posted by Tyler Wood, Operations Manager at Crime Tech Solutions
keep-calm-and-investigate-on-7In the release of a not so well-kept industry secret, Trimble (NASDAQ: TRMB) finally announced this week (February 29, 2016)  that it has sold The Omega Group assets to TriTech Software Systems, a leading provider of public safety software. The Omega Group is a large provider of crime mapping software, known for its popular CrimeView™ desktop software and the www.crimemapping.com™ website which allows agencies to present crime statistics to the public in a heat map format.
According to the press release, TriTech intends to grow the acquired business as part of its public safety portfolio. Financial terms of the sale were not disclosed.
So, TriTech continues its acquisition strategy… having already acquired Visionair, Tiburon and Information Management Corp (IMC) over the past decade. Visionair and Tiburon were providers of Records Management Systems (RMS) and Computer Aided Dispatch (CAD) systems for law enforcement.
The previous acquisitions made a great deal of sense for TriTech, as well as the companies being acquired. Most importantly, those acquisitions had no negative affect on the most important group of all – the users and customer base. The acquisition of The Omega Group and CrimeView, however, not so much.
The Omega Group has long been close partners with ESRI®, by far and away the leading developer of GIS mapping technology anywhere. That relationship with ESRI had helped Omega grow into the market force it has become. Of equal importance to that success, however, was the positioning that Omega Group – and their suite of crime map products – were data agnostic and would work with a wide variety of RMS and CAD systems.
Under TriTech’s ownership, however, I don’t see how that ‘impartiality’ continues. TriTech’s previous acquisitions have quickly blended into part of an overall powerful suite of tools – perhaps second to none in the industry – that they market so successfully. Why would we not expect CrimeView et al to follow the same path?
If you’re a current TriTech customer, the acquisition probably has little or no affect on you. Perhaps there’s even an upside as they work to integrate the crime mapping offerings into their other solutions further.
If you’re NOT a TriTech customer, however… well, this is not so good for you. It’s not unreasonable to expect that the company will continue to support third party RMS and CAD implementations for some period of time, but I expect the crime map products to grow in functionality specifically in line with TriTech’s own product set.
Here are our concerns:

  1. As a user of Omega Group products do you have reason to be concerned that support and development for you will slowly phase out? I’d think so, as TriTech is in the business of selling RMS and CAD solutions.
  2. If you’re ESRI, can you continue your cozy relationship with a company and product set now owned by a large entity who, by definition, has no interest in growing the non-TriTech base?
  3. If you’re a competitor to TriTech, can you continue to work with someone who would much prefer to take away your install base than partner with you on the crime map side?

There are low-end, inexpensive competitors to CrimeView but frankly they don’t compare to the functionality and are designed for the very smallest of agencies. CrimeMap from Crime Tech Solutions, on the other hand, is also a partner with ESRI and has a vested interest in remaining agnostic as to the RMS or CAD systems in place. It’s how the company does business.
CrimeMap is a top-tier desktop solution that includes all of the functionality you’d expect, PLUS includes advanced crime analytics, integration with our powerful criminal intelligence database system, and an incredibly useful connectivity to our price/performance leading link analysis solution.
One has to admire TriTech for their continued growth and execution of a solid acquisition strategy. In this acquisition of Omega Group, however, they have put ESRI, end-users, and competitive vendors in an awkward spot.
(NOTE: Crime Tech Solutions is an Austin, TX based provider of crime and fraud analytics software for commercial and law enforcement groups. We proudly support the Association of Certified Fraud Examiners (ACFE), International Association of Chiefs of Police (IACP), Association of Law Enforcement Intelligence Units (LEIU) and International Association of Crime Analysts (IACA). Our offerings include sophisticated link analysis software, comprehensive crime mapping and predictive policing, and criminal intelligence database management systems.)
 

Big data, Crime Technology Solutions, Investigation Software, Palantir

Is the Most Dangerous Company in America?

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Posted by Tyler Wood, Operations Manager at Crime Tech Solutions
ciaThis is a very interesting read about the current big data analytics darling, Palantir Technologies. The article from GS Early appears on the Personal Liberty website HERE.
The original article follows…
“I was reading my newsfeeds and I came across a very interesting story about this highly secretive company that is apparently buying up as much Palo Alto, California real estate as it can get its hands on.
But that isn’t even the most interesting thing about them. What piques my interest is how this start-up that just added another $450 million to its funding — it now has about $20 billion in funding — got its money.
The company is called Palantir Technologies. If the name sounds familiar, it’s because it comes from JRR Tolkein’s trilogy of fantasy novels. In The Fellowship of the Ring, Saruman the wizard uses the Palantir of Orthanc, an indestructible sphere of dark crystal, to see into the future and communicate across the world.
That sounds geeky and innocuous enough, no?
But Palantir the company’s biggest clients are the FBI, SEC and the CIA. It is a Big Data company that also has corporate clients, but much of the work — from what anyone can tell — comes from hush-hush projects for the U.S. intelligence community.
This crystal ball of a company sounds less like a quaint fantasy than a key element of the “thought police” in Philip K. Dick’s dark science fiction tale “The Minority Report.”
In “The Minority Report,” the police used computers to predict when and where a crime would occur and apprehend the perpetrator before he actually committed the crime.
The crazy thing is, we’re now living in a world where Big Data makes that possible.
First, let me explain what Big Data is. Basically, now that our lives are completely recorded in various media — traffic cameras, debit card transactions, loyalty cards, phone calls, television shows watched, internet, social media, SMS texts, etc. — computers are powerful enough now to sort through all this data from all these sources and come up with predictive patterns for individuals and groups.
This is a very hot area for retail stores. But it also has enormous implications in a variety of industries; and many of them are helpful.
It is certainly a tool that law enforcement and our intelligence services would find valuable to root out potential terrorists or groups that are planning some terrorist act. It is also useful to find people who are attempting to elude authorities. And being able to get ahead of the some of the more devious players on Wall Street and their illegal trading schemes would be nice.
But you can see where this could be turned on Americans, just as easily as the NSA turned its endeavors on to less than righteous paths.
Palantir is raising eyebrows in the epicenter of digital startups because most companies, once they reach a certain size, move out of Palo Alto and build a campus in some surrounding town.
Not Palantir. It now owns about 10-15 percent of all the available space in Palo Alto, more than 250,000 square feet. It is the fourth most valuable venture backed company in the world.
The irony in the article was, the concern wasn’t about its biggest client or what it’s doing for the CIA, it was the fact that it’s eating up all the available commercial space in Palo Alto and not leaving room for new startups.
My concern is a bit deeper. The CIA could have quietly gone to one of the major Big Data firms like Accenture or IBM and worked with them on whatever it is they needed. But instead they essentially built their own company, where there are much fewer people to throw up roadblocks to the work being done. I have no problem with government using Big Data to protect us; my concern is when intelligence and enforcement agencies have unfettered use of it.
But, there’s no turning back the clock. We are in the Big Data, cybersecurity age and plenty of these companies already exist. Usually their goal is help their clients sell more lavender soap in February or figure out what kind of salad greens a 37-year-old mother of two prefers to buy at 7 p.m. on a Wednesday evening.
On a fundamental level, it’s best to keep your digital footprint light. Make sure you have secure passwords that aren’t just 1234 or your pet’s name. Most browsers have an “incognito” mode that won’t track your browser history. But truth be told, if someone really wants your history, they can get it.
If you’re more serious about hiding your footprints, look into encrypted services like Tor (www.torproject.com) that will protect against traffic analysis (browser history, instant messaging, etc.). It’s free and very good.
Transactions in bitcoins is a way to keep your footprint light in the marketplace.
And if you’re looking to make money on the trend, there are any number of companies that are at the forefront of cybersecurity (Palo Alto Networks, FireEye, Synamtec) and Big Data (Accenture, IBM, Teradata, Oracle).
–GS Early“
(NOTE: Crime Tech Solutions is an Austin, TX based provider of crime and fraud analytics software for commercial and law enforcement groups. We proudly support the Association of Certified Fraud Examiners (ACFE), International Association of Chiefs of Police (IACP), Association of Law Enforcement Intelligence Units (LEIU) and International Association of Crime Analysts (IACA). Our offerings include sophisticated link analysis software, comprehensive crime mapping and predictive policing, and criminal intelligence database management systems.)

crime analysis, Crime Technology Solutions, Investigation Software, law enforcement

Technology and the fight against terrorism

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Posted by Crime Tech Solutions
From CNN…
Terrorist-picture-scan-750x500http://money.cnn.com/2015/11/24/technology/targeting-terror-intelligence-isis/index.html?iid=ob_lockedrail_bottomlarge&iid=obnetwork
(NOTE: Crime Tech Solutions is an Austin, TX based provider of crime and fraud analytics software for commercial and law enforcement groups. We proudly support the Association of Certified Fraud Examiners (ACFE), International Association of Chiefs of Police (IACP), Association of Law Enforcement Intelligence Units (LEIU) and International Association of Crime Analysts (IACA). Our offerings include sophisticated link analysis software, comprehensive crime mapping and predictive policing, and criminal intelligence database management systems.)

Uncategorized

Best Practices – Geospatial Crime Mapping

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Posted by Tyler Wood, Operations Manager at Crime Tech Solutions.

Crime mapping technology is a powerful and valuable tool for law enforcement. The ability to represent crime statistics visually – in a meaningful way – is helping police forces across America to analyze, understand, predict, and even prevent crime. It is, however, important to use caution when using such powerful tools, in order to prevent incorrect analyses of crime statistics that may hinder, rather than help, an investigation.
Specifically, there are a few key mistakes which should be avoided when utilizing this sort of predictive technology.

  1. Obviously, crime reporting should be thorough and detailed. Crime mapping technology takes a great many factors into consideration when developing a visual analysis of a certain area. The more detailed the input is, the more accurate the predictions and visualizations will be.
  2. Not every crime occurs at a specific street address. Certain crimes, like personal theft, may not be noticed until hours or even days after they occur, making it difficult to define an exact location at which the crime was committed. Analysts should take care to visualize each location in which it could have occurred.
  3. When developing a crime map of an area, analysts should take care to split the data between daytime and nighttime hours, as many areas have significantly different rates of crime depending on the time of day. If time is not taken into consideration, data can become skewed and law enforcement can develop a warped picture of the area.
  4. It is also important for analysts to consider other factors that affect crime reporting within a specific area. For example, petty crimes may be reported less often in lower-income neighborhoods. Care should be taken to consider the demographics and socioeconomic standings of the area being mapped in order to provide more context which can help analysts to more accurately predict and prevent crime.
  5. Sentinel Visualizer - Geospatial AnalysisCombining, where possible, the functionality of link analysis into the crime mapping process brings powerful additional functionality. This ability to link, not only statistical, but entity-specific data is a potential game changer.

The role of crime mapping in the world of law enforcement is gaining popularity. Unfortunately, for many police departments, the cost of a full suite of software from category leader, ESRI is prohibitive. Still, there are options available… notably, CrimeMap Pro from Crime Tech Solutions.

___

(NOTE: Crime Tech Solutions is an Austin, TX based provider of crime and fraud analytics software for commercial and law enforcement groups. We proudly support the Association of Certified Fraud Examiners (ACFE), International Association of Chiefs of Police (IACP), Association of Law Enforcement Intelligence Units (LEIU) and International Association of Crime Analysts (IACA). Our offerings include sophisticated link analysis software, comprehensive crime mapping and predictive policing, and criminal intelligence database management systems.)

analytics, crime analyst, geospatial, Investigation Software, law enforcement, Link Analysis, policing, Uncategorized

What is Crime Analysis?

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Posted by Tyler Wood Crime Tech Solutions, your source for investigation software.
The information provided on this page comes primarily from Boba, R. (2008: Pages 3 through 6) Crime Analysis with Crime Mapping. For a full discussion of the crime analysis discipline, refer to the book which can be obtained through www.sagepub.com.
Over the past 20 years, many scholars have developed definitions of crime analysis. Although definitions of crime analysis differ in specifics, they share several common components: all agree that crime analysis supports the mission of the police agency, utilizes systematic methods and information, and provides information to a range of audiences. Thus, the following definition of crime analysis is used as the foundation of this initiative:
Crime analysis is the systematic study of crime and disorder problems as well as other police–related issues—including sociodemographic, spatial, and temporal factors—to assist the police in criminal apprehension, crime and disorder reduction, crime prevention, and evaluation.
Clarification of each aspect of this definition helps to demonstrate the various elements of crime analysis. Generally, to study means to inquire into, investigate, examine closely, and/or scrutinize information. Crime analysis, then, is the focused and systematic examination of crime and disorder problems as well as other police-related issues. Crime analysis is not haphazard or anecdotal; rather, it involves the application of social science data collection procedures, analytical methods, and statistical techniques.
More specifically, crime analysis employs both qualitative and quantitative data and methods. Crime analysts use qualitative data and methods when they examine non-numerical data for the purpose of discovering underlying meanings and patterns of relationships. The qualitative methods specific to crime analysis include field research (such as observing characteristics of locations) and content analysis (such as examining police report narratives). Crime analysts use quantitative data and methods when they conduct statistical analysis of numerical or categorical data. Although much of the work in crime analysis is quantitative, crime analysts use simple statistical methods, such as frequencies, percentages, means, and rates. Typical crime analysis tools include link analysis and crime mapping software.
The central focus of crime analysis is the study of crime (e.g., rape, robbery, and burglary); disorder problems (e.g., noise complaints, burglar alarms, and suspicious activity); and information related to the nature of incidents, offenders, and victims or targets of crime (targets refer to inanimate objects, such as buildings or property). Crime analysts also study other police-related operational issues, such as staffing needs and areas of police service. Even though this discipline is called crime analysis, it actually includes much more than just the examination of crime incidents.
Although many different characteristics of crime and disorder are relevant in crime analysis, the three most important kinds of information that crime analysts use are sociodemographic, spatial, and temporal. Sociodemographic information consists of the personal characteristics of individuals and groups, such as sex, race, income, age, and education. On an individual level, crime analysts use sociodemographic information to search for and identify crime suspects. On a broader level, they use such information to determine the characteristics of groups and how they relate to crime. For example, analysts may use sociodemographic information to answer the question, “Is there a white, male suspect, 30 to 35 years of age, with brown hair and brown eyes, to link to a particular robbery?” or “Can demographic characteristics explain why the people in one group are victimized more often than people in another group in a particular area?”
The spatial nature of crime and other police-related issues is central to understanding the nature of a problem. In recent years, improvements in computer technology and the availability of electronic data have facilitated a larger role for spatial analysis in crime analysis. Visual displays of crime locations (maps) and their relationship to other events and geographic features are essential to understanding the nature of crime and disorder. Recent developments in criminological theory have encouraged crime analysts to focus on geographic patterns of crime, by examining situations in which victims and offenders come together in time and space.
Finally, the temporal nature of crime, disorder, and other police-related issues is a major component of crime analysis. Crime analysts conduct several levels of temporal analysis, including (a) examination of long-term patterns in crime trends over several years, the seasonal nature of crime, and patterns by month; (b) examination of mid-length patterns, such as patterns by day of week and time of day; and (c) examination of short-term patterns, such as patterns by day of the week, time of day, or time between incidents within a particular crime series.
The final part of the crime analysis definition—”to assist the police in criminal apprehension, crime and disorder reduction, crime prevention, and evaluation” generally summarizes the purpose and goals of crime analysis. The primary purpose of crime analysis is to support (i.e., “assist”) the operations of a police department. Without police, crime analysis would not exist as it is defined here.
The first goal of crime analysis is to assist in criminal apprehension, given that this is a fundamental goal of the police. For instance, a detective may be investigating a robbery incident in which the perpetrator used a particular modus operandi (i.e., method of the crime). A crime analyst might assist the detective by searching a database of previous robberies for similar cases.
Another fundamental police goal is to prevent crime through methods other than apprehension. Thus, the second goal of crime analysis is to help identify and analyze crime and disorder problems as well as to develop crime prevention responses for those problems. For example, members of a police department may wish to conduct a residential burglary prevention campaign and would like to target their resources in areas with the largest residential burglary problem. A crime analyst can assist by conducting an analysis of residential burglary to examine how, when, and where the burglaries occurred along with which items were stolen. The analyst can then use this information to develop crime prevention suggestions, (such as closing and locking garage doors) for specific areas.
Many of the problems that police deal with or are asked to solve are not criminal in nature; rather, they are related to quality of life and disorder. Some examples include false burglar alarms, loud noise complaints, traffic control, and neighbor disputes. The third goal of crime analysis stems from the police objective to reduce crime and disorder. Crime analysts can assist police with these efforts by researching and analyzing problems such as suspicious activity, noise complaints, code violations, and trespass warnings. This research can provide officers with information they can use to address these issues before they become more serious criminal problems.
The final goal of crime analysis is to help with the evaluation of police efforts by determining the level of success of programs and initiatives implemented to control and prevent crime and disorder and measuring how effectively police organizations are run. In recent years, local police agencies have become increasingly interested in determining the effectiveness of their crime control and prevention programs and initiatives. For example, an evaluation might be conducted to determine the effectiveness of a two-month burglary surveillance or of a crime prevention program that has sought to implement crime prevention through environmental design (CPTED) principles within several apartment communities. Crime analysts also assist police departments in evaluating internal organizational procedures, such as resource allocation (i.e., how officers are assigned to patrol areas), realignment of geographic boundaries, the forecasting of staffing needs, and the development of performance measures. Police agencies keep such procedures under constant scrutiny in order to ensure that the agencies are running effectively.
In summary, the primary objective of crime analysis is to assist the police in reducing and preventing crime and disorder. Present cutting edge policing strategies, such as hotspots policing, problem-oriented policing, disorder policing, intelligence-led policing, and CompStat management strategies, are centered on directing crime prevention and crime reduction responses based on crime analysis results. Although crime analysis is recognized today as important by both the policing and the academic communities, it is a young discipline and is still being developed. Consequently, it is necessary to provide new and experienced crime analysts with training and assistance that improves their skills and provides them examples of best practices from around the country and the world. http://crimetechsolutions.com
 

law enforcement

Policing in my hometown (Winnipeg) gets smart

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Posted by Douglas Wood, Crime Tech Solutions
As a native Winnipeg boy, this article in the Winnipeg Sun caught my attention…
1297227913993_ORIGINALThe government of Manitoba, Canada won’t be making good on its 2011 election pledge to put an extra 50 cops on the streets to combat crime and keep Winnipeg neighborhoods safe.

But it’s not because the province is unwilling.  It’s because the city of Winnipeg doesn’t want more cops.
That may seem odd for a city with the highest violent crime rate in the country. But as policing resources shift away from boots on the ground to more crime-analysis based law enforcement, it’s not more sworn officers the Winnipeg Police Service wants, it’s more resources for so-called smart policing strategies.
“The interest of Winnipeg Police Service is not in officers so much as in crime analysis and smart policing and they have a different approach,” Justice Minister Gord Mackintosh told a legislative committee on Monday. “They do not have an interest in just adding more.” The New Democratic Party promised voters during the last provincial election that it would fund 50 additional officers if re-elected. But four years later, the province has only funded 23 more officers. And there won’t be any new funding for more officers, said Mackintosh.
“The commitment was 50 more officers and we’re now at the equivalent of 23,” said Mackintosh. “The city has requested that the election commitment not be implemented as enunciated during the campaign.” It’s a major shift from years past when provincial parties regularly pledged to put more cops on the street by directly funding the Winnipeg Police Service. The former government was the first to make the promise in 1995 when it promised 40 more police officers for Winnipeg.
The province now directly pays for the salaries and benefits of 172 Winnipeg officers, according to a 2014 report.
And while that funding is expected to continue, the city doesn’t want more money for cops. They want it to help fund other aspects of policing, including more preventative measures, said Mackintosh.
“This is a different approach that is gaining momentum not just here in Winnipeg but in other jurisdictions across the continent,” said Mackintosh. “It’s really about hot spot policing now, it’s about data analysis, looking at the types of offences where they occur, the time of day.” Winnipeg police board chairman Coun. Scott Gillingham confirmed the city isn’t looking for more funding to expand the police complement further. He says police are looking to hire more crime analysts, which can be civilians, not more cops.
“The opportunity and the need would be to focus on preventative measures through things like the smart policing initiative (and) intelligence-led policing,” said Gillingham.
What police also need, though, is more help with the additional workload they’ve taken on as they deal increasingly with mental health patients, Child and Family Services cases and soaring domestic abuse calls.
Police may be moving towards a more data-based approach to law enforcement, but they’ve also become a service of last resort for a growing number of tough social service cases, including tracking down chronic runaway wards of the state on a regular basis.
Which means they’re going to need a lot more support from provincial agencies to pick up some of that slack.
Winnipeg police may not need more boots on the ground. After all, Winnipeg does have the most cops per capita of any Canadian city, and has for some time.
But the province is going to have to figure out how to better manage the social service cases that are landing increasingly at the doorstep of police.
Biometrics, fraud

Professor urges increased use of technology in fighting crime

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risk_terrain_modeling_resizedPosted by Crime Tech Solutions
This article originally appeared HERE in Jamaica Observer. It’s an interesting read…
A University of the West Indies (UWI) professor is calling for the increased use of technology by developing countries, including Jamaica, to assist in the fight against crime.
Professor Evan Duggan, who is Dean of the Faculty of Social Sciences, said there have been “amazing advancements” in information and communications technologies (ICT), over the past six decades, which offer great potential for improving security strategies.
The academic, who was addressing a recent National Security Policy Seminar at UWI’s Regional Headquarters, located on the Mona campus, pointed to Kenya as a developing country that has employed the use of inexpensive technology in its crime fighting initiatives.
“Potential applications and innovations have been implemented through the use of powerful but not very expensive technologies that have allowed law enforcers to make enormous leaps in criminal intelligence, crime analysis, emergency response and policing,” he said.
He pointed to the use of a variety of mobile apps for crime prevention and reporting, web facilities, and citizen portals for the reporting of criminal activity.
Professor Duggan said that in order for Jamaica to realise the full benefit of technology in crime fighting, national security stakeholders need to engage local application developers.
“I would enjoin our stakeholders to engage the extremely creative Jamaican application developers, who now produce high quality apps for a variety of mobile and other platforms. I recommend interventions to assist in helping these groups to cohere into a unified force that is more than capable of supplying the applications we need,” he urged.
The UWI Professor pointed to the Mona Geoinformatic Institute as one entity that has been assisting in fighting crime, through analyses of crime data as well as three dimensional (3D) reconstruction of crime scenes; and mapping jurisdictional boundaries for police posts and divisions, as well as the movement of major gangs across the country.
In the meantime, Professor Duggan called for “purposeful activism” in the fight against crime and lawlessness which, he said, are “serious deterrents to economic development and national growth prospects” and could derail the national vision of developed country status by 2030.
“In the current global landscape where security challenges are proliferating across borders and have taken on multifaceted physiognomies, all hands on deck are vital,” he stressed.
“We need to …consolidate pockets of research excellence in this area …to provide the kinds of insight that will lead to more fruitful and productive collaborative engagements that are required to help us better understand the security challenges and threats from crime in order to better inform our national security architecture and direction,” he added.

Crime Technology Solutions, Financial Crimes, law enforcement, Link Analysis

What is Link / Social Network Analysis?

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Posted by Crime Tech SolutionsPic003

Computer-based link analysis is a set of techniques for exploring associations among large numbers of objects of different types. These methods have proven crucial in assisting human investigators in comprehending complex webs of evidence and drawing conclusions that are not apparent from any single piece of information. These methods are equally useful for creating variables that can be combined with structured data sources to improve automated decision-making processes. Typically, linkage data is modeled as a graph, with nodes representing entities of interest and links representing relationships or transactions. Links and nodes may have attributes specific to the domain. For example, link attributes might indicate the certainty or strength of a relationship, the dollar value of a transaction, or the probability of an infection.

Some linkage data, such as telephone call detail records, may be simple but voluminous, with uniform node and link types and a great deal of regularity. Other data, such as law enforcement data, may be extremely rich and varied, though sparse, with elements possessing many attributes and confidence values that may change over time.
Various techniques are appropriate for distinct problems. For example, heuristic, localized methods might be appropriate for matching known patterns to a network of financial transactions in a criminal investigation. Efficient global search strategies, on the other hand, might be best for finding centrality or severability in a telephone network.
Link analysis can be broken down into two components—link generation, and utilization of the resulting linkage graph.
Link Generation
Link generation is the process of computing the links, link attributes and node attributes. There are several different ways to define links. The different approaches yield very different linkage graphs. A key aspect in defining a link analysis is deciding which representation to use.
Explicit Links
A link may be created between the nodes corresponding to each pair of entities in a transaction. For example, with a call detail record, a link is created between the originating telephone number and the destination telephone number. This is referred to as an explicit link.
Aggregate Links
A single link may be created from multiple transactions. For example, a single link could represent all telephone calls between two parties, and a link attribute might be the number of calls represented. Thus, several explicit links may be collapsed into a single aggregate link.
Inferred Relationships
Links may also be created between pairs of nodes based on inferred strengths of relationships between them. These are sometimes referred to as soft links, association links, or co-occurrence links. Classes of algorithms for these computations include association rules, Bayesian belief networks and context vectors. For example, a link may be created between any pair of nodes whose context vectors lie within a certain radius of one another. Typically, one attribute of such a link is the strength of the relationship it represents. Time is a key feature that offers an opportunity to uncover linkages that might be missed by more typical data analysis approaches. For example, suppose a temporal analysis of wire transfer records indicates that a transfer from account A to person X at one bank is temporally proximate to a transfer from account B to person Y at another bank. This yields an inferred link between accounts A and B. If other aspects of the accounts or transactions are also suspicious, they may be flagged for additional scrutiny for possible money laundering activity.
A specific instance of inferred relationships is identifying two nodes that may actually correspond to the same physical entity, such as a person or an account. Link analysis includes mechanisms for collapsing these to a single node. Typically, the analyst creates rules or selects parameters specifying in which instances to merge nodes in this fashion.
Utilization
Once a linkage graph, including the link and node attributes, has been defined, it can be browsed, searched or used to create variables as inputs to a decision system.
Visualization
In visualizing linking graphs, each node is represented as an icon, and each link is represented as a line or an arrow between two nodes. The node and link attributes may be displayed next to the items or accessed via mouse actions. Different icon types represent different entity types. Similarly, link attributes determine the link representation (line strength, line color, arrowhead, etc.).
Standard graphs include spoke and wheel, peacock, group, hierarchy and mesh. An analytic component of the visualization is the automatic positioning of the nodes on the screen, i.e., the projection of the graph onto a plane. Different algorithms position the nodes based on the strength of the links between nodes or to agglomerate the nodes into groups of the same kind. Once displayed, the user typically has the ability to move nodes, modify node and link attributes, zoom in, collapse, highlight, hide or delete portions of the graph.
Variable Creation
Link analysis can append new fields to existing records or create entirely new data sets for subsequent modeling stages in a decision system. For example, a new variable for a customer might be the total number of email addresses and credit card numbers linked to that customer.
Search
Link analysis query mechanisms include retrieving nodes and links matching specified criteria, such as node and link attributes, as well as search by example to find more nodes that are similar to the specified example node.
A more complex task is similarity search, also called clustering. Here, the objective is to find groups of similar nodes. These may actually be multiple instances of the same physical entity, such as a single individual using multiple accounts in a similar fashion.
Network Analysis
Network analysis is the search for parts of the linkage graph that play particular roles. It is used to build more robust communication networks and to combat organized crime. This exploration revolves around questions such as:

  • Which nodes are key or central to the network?
  • Which links can be severed or strengthened to most effectively impede or enhance the operation of the network?
  • Can the existence of undetected links or nodes be inferred from the known data?
  • Are there similarities in the structure of subparts of the network that can indicate an underlying relationship (e.g., modus operandi)?
  • What are the relevant sub-networks within a much larger network?
  • What data model and level of aggregation best reveal certain types of links and sub-networks?
  • What types of structured groups of entities occur in the data set?

Applications
Link analysis tools such as those provided by Crime Tech Solutions are increasingly used in law enforcement investigations, detecting terrorist threats, fraud detection, detecting money laundering, telecommunications network analysis, classifying web pages, analyzing transportation routes, pharmaceuticals research, epidemiology, detecting nuclear proliferation and a host of other specialized applications. For example, in the case of money laundering, the entities might include people, bank accounts and businesses, and the transactions might include wire transfers, checks and cash deposits. Exploring relationships among these different objects helps expose networks of activity, both legal and illegal.

Financial Crimes, Investigation Software, Link Analysis

The Name Game Fraud

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  1. Hello-my-name-is1Posted by Douglas Wood, Editor. Alright everybody, let’s play a game. The name game!

“Shirley, Shirley bo Birley. Bonana fanna fo Firley. Fee fy mo Mirley. Shirley!” No, not THAT name game. (Admit it… you used to love singing the “Chuck” version, though.)
The name game I’m referring to is slightly more sinister, and relates to the criminal intent to deceive others for gain by slightly misrepresenting attributes in order to circumvent fraud detection techniques. Pretty much anywhere money, goods, or services are dispensed, folks play the name game.
Utilities, Insurance, Medicaid, retail, FEMA. You name it.
Several years ago, I helped a large online insurance provider determine the extent to which they were offering insurance policies to corporations and individuals with whom they specifically did not want to do business. Here’s what the insurer knew:

  1. They had standard application questions designed to both determine the insurance quote AND to ensure that they were not doing business with undesirables. These questions included things such as full name, address, telephone number, date of birth, etc… but also questions related to the insured property. “Do you live within a mile of a fire station?”, Does your home have smoke detectors?”, and “Is your house made of matchsticks?”
  2. On top of the questions, the insurer had a list of entities with whom the knew they did not want to do business for one reason or another. Perhaps Charlie Cheat had some previously questionable claims… he would have been on their list.

In order to circumvent the fraud prevention techniques, of course, the unscrupulous types figured out how to mislead the insurer just enough so that the policy was approved. Once approved, the car would immediately be stolen. The house would immediately burn down, etc.
The most common way by which the fraudsters misled the insurers was a combination of The Name Game and modifying answers until the screening system was fooled. Through a combination of investigative case management and link analysis software, I went back and looked at several months of historical data and found some amazing techniques used by the criminals. Specifically, I found one customer who made 19 separate online applications – each time changing just one attribute or answer slightly – until the policy was issued. Within a week of the policy issue, a claim was made. You can use your imagination to determine if it was a legitimate claim. 😀
This customer, Charlie Cheat (obviously not his real name), first used his real name, address, telephone number, and date of birth… and answered all of the screening questions honestly. Because he did not meet the criteria AND appeared on an internal watch list for having suspicious previous claims, his application was automatically denied. Then he had his wife, Cheri Cheat, complete the application in hopes that the system would see a different name and approve the policy. Thirdly, he modified his name to Charlie Cheat, Chuck E. Cheat, and so on. Still no go. His address went from 123 Fifth Street to 123-A 5th Street. You get the picture.
Then he began to modify answers to the screening questions. All of a sudden, he DID live within a mile of a fire station… and his house was NOT made of matchsticks… and was NOT located next door to a fireworks factory. After almost two dozen attempts, he was finally issued the policy under a slightly revised name, a tweak in his address, and some less-than-truthful answers on the screening page. By investing in powerful  investigative case management software with link analysis and fuzzy matching this insurer was able to dramatically decrease the number of policies issued to known fraudsters or otherwise ineligible entities.
Every time a new policy is applied for, the system analyzes the data against previous responses and internal watch lists in real time.  In other words, Charlie and Cheri just found it a lot more difficult to rip this insurer off. These same situations occur in other arenas, costing us millions annually in increased taxes and prices. So, what happened to the Cheats after singing the name game?
Let’s just say that after receiving a letter from the insurer, Charlie and Cheri started singing a different tune altogether.

Data, Investigation Software, Link Analysis, Vendors

Asking data questions

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Posted by Douglas Wood, Editor.  http://www.linkedin.com/in/dougwood.
A brief read and good perspective from my friend Chris Westphal of Raytheon. The article is by Anna Forrester of ExecutiveGov.com.
Federal managers should invest in technology that would help them extract insights from data and base their investment decision on the specific problems and information they want to learn and solve, Federal Times reported Friday.
Rutrell Yasin writes that the above managers should follow three steps as they seek to compress the high volume of data their agencies encounter in daily tasks and to derive value from them.
According to Shawn Kingsberry, chief information officer for the Recovery Accountability and Transparency Board, federal managers should first determine the questions they need to ask of data then create a profile for the customer or target audience.
Next, they should locate the data and their sources then correspond with those sources to determine quality of data, the report said. “Managers need to know if the data is in a federal system of records that gives the agency terms of use or is it public data,” writes Yasin.
Finally, they should consider the potential impact of the data, the insights and resulting technology investments on the agency.
Yasin reports that the Recovery Accountability and Transparency Board uses data analytics tools from Microsoft, SAP and SAS and link analysis tools from Palantir Technologies.
According to Chris Westphal, director of analytics technology at Raytheon, organizations should invest in a platform that gathers data from separate sources into a single data repository with analytics tools.
Yasin adds that agencies should also appoint a chief data officer and data scientists or architects to assist the CIO and CISO on these areas.