Pattern Analysis and Information Collection (ICEPIC)
The Rundown:
This program exists to fulfill U.S. Immigration and Customs Enforcement’s mission to uncover and pursue violations of federal customs and immigration laws, but it is also used to detect possible terrorist threats and plots by aggregating data from other DHS and non-DHS agencies. It uses classic logarithmic analysis to look for “non-obvious relationships” and is said to overcome problems of data inconsistency that can stymie manual searches. Prior to the program’s deployment, ICE investigations involved a process that was conducted manually by individually querying multiple databases. One ICE official said that process could take an analyst up to three days, a timeframe that has been significantly shortened with ICEPIC. Analysts can use commercial data to fill in information gaps.
ICE analysts enter search parameters for a specific individual under investigation, and the ICEPIC system returns the information it deems relevant. Those potentially included in a typical query include subjects of official investigations and “associated” individuals. The information contained in ICEPIC can include names, dates of birth, phone numbers, addresses, nationalities, fingerprints, photographs, a person’s immigration history and alien registration information.
Why are we interested?
The results produced by ICE, including links uncovered between a queried individual and those “associated” with him/her can be used to open up new investigations. The aggregated ICE databases used for the program include information systems that not only track suspected illegal immigrants and terrorists, but also foreign students, visitors and legal aliens. Additionally, “reports generated through the use of information in ICEPIC are used by the Department of Justice (DOJ) or other federal agencies.”
An information sharing application run by NCIS. It “provides participating law enforcement partner agencies with secure access to regional crime and incident data and the tools needed to process it, enabling investigators to search across jurisdictional boundaries to help solve crimes and resolve suspicious events.” There are more than 760 NCIS LInX partner agencies with approximately 30,000 trained users.
The Department of Defense (DoD) is collaborating with NCIS to introduce the Defense Law Enforcement Data Exchange (DDEX) project to expand upon the success of this program to include thirteen DoD agencies. Similar to LInX, the DDEX will be populated using data already collected by the defense criminal investigative organizations in fulfilling their functions, such as incident, offense, and case reports.
This rich piece of descriptive obfuscation comes from the PIA: “KNET provides integrated analytical and knowledge management capabilities across multiple internal and external sources of criminal investigative, counterintelligence, and counterterrorism. More specifically, KNET consists of tools that allow users to search unclassified disparate data sources from one common interface, perform entity extraction of key objects and concepts contained in message traffic and databases, visualize relationships between objects, collaborate, and report.”
Documents “intelligence, counterintelligence, counterterrorism and counternarcotic operations relating to the protection of national security, DoD personnel, facilities and equipment, to include information systems.” It includes individuals “involved in, or of interest to, DoD intelligence, counterintelligence, counterterrorism and counternarcotic operations or analytical projects as well as individuals involved in foreign intelligence and/or training activities.”
Designed to support the sharing of information through the Information Sharing Environment about suspicious activities which are defined as “official documentation of observed behavior reasonably indicative of pre-operational planning related to terrorism or other criminal activity [related to terrorism].”
Aggregates data from other sources and uses classic logarithmic analysis to look for “non-obvious relationships”; also uses commercial data to fill in information gaps.
A repository for reports generated to record and track suspicious activity that may implicate terrorism-related or criminal activity.
Establishes guidelines for how publicly available info on social media websites can be used to provide “situational awareness,” defined as “information gathered from a variety of sources that, when communicated to emergency managers and decision makers, can form the basis for incident management decision-making.”
Allows users to search across multiple TSA databases in support of its mission to assess risks and threats to the nation’s transportation infrastructure.
A repository for tracking bomb/explosive device related incidents. Aggregates data on these incidents from law enforcement agencies across the country.
DEA Aggregates data on criminals, suspected criminals and other “criminal law enforcement information.”
Aggregates SARs received by the FBI, allows for the dissemination of this information to state and local law enforcement. “eGuardian is at its very essence, simply a platform to standardize the disparate SAR systems currently utilized by agencies to collect information, which will enhance communication among law enforcement entities as well as situational awareness.”
The Investigative Data Warehouse holds as many as 6 billion records, from phone and hotel records to “pocket litter” found in suspects’ pockets during detainment situations. Along with a Foreign Terrorist Tracking Task Force database, the two programs have been integrated to comprise what is termed the National Security Branch Analysis Center’s “data exploitation system.”
Creates a database allowing citizens to submit “tips” on terrorism-related or criminal activity. DHS also has a tip line, which forwards all information received to the FBI.
Another information-sharing database for federal, state and local law enforcement. The PIA money line: “The N-DEx system will make apparent linkages between already existing law enforcement information that were previously not apparent.”
Given the nature of the ODNI programs, little is known about them and most of what we know suggests that they are “future” programs rather than current efforts:
“Will enhance data fusion and entity resolution, as well as discovery of unknown relationships. DataSphere, enables analysis of the activities of terrorists such as their communication networks and travel. The goal of DataSphere is to provide analysts with a tool to aid in the discovery of unknown terrorism relationships and the identification of previously undetected terrorist and terrorism information.
In its end-state, Catalyst will enable data fusion/analytic programs to share disparate repositories with each other, to disambiguate and cross-correlate the different agencies’ holdings, and to discover and visualize relationship/network links, geospatial patterns, temporal patterns and related correlations.”
The focus of the KDD program is to develop novel approaches that will enable the intelligence analyst to effectively derive actionable intelligence from multiple, large, disparate sources of information, to include newly available data sets previously unknown to the analyst.
Will attempt to figure out how to employ pattern analysis to video data. The full synopsis from the link below is worth a look; we’re basically talking about YouTube spying here.
