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Advanced Information Technology in Law Enforcement: Challenges and Barriers to Implementation. Andreas M. Olligschlaeger, Ph.D. President, TruNorth Data Systems, Inc. (724) 775-8441 [email protected]. Overview. What are some of the key IT challenges to law enforcement? - PowerPoint PPT Presentation
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Advanced Information Technology in Law Enforcement: Challenges and Barriers to Implementation
Andreas M. Olligschlaeger, Ph.D.President, TruNorth Data Systems, Inc.(724) [email protected]
Overview
What are some of the key IT challenges to law enforcement?
Current state of the art in technology
Barriers to the implementation of new technologies
IT Challenges
Information sharing Sharing information can help prevent crime and
terrorism before it occurs Proactive law enforcement requires putting together
many pieces of a puzzle; private industry owns a large part of the puzzle
While there is no guarantee that information sharing will prevent all attacks or crimes, failure to do so will almost certainly guarantee future attacks and crime
IT Challenges
Proactive analytical capabilities– Forecasting– Real-time monitoring of large data sets– Space/Time Pattern analysis– Data Mining
Multi-Modal Query and Display– Query and visualize data in multiple ways
Ubiquitous Access to Information– Handheld computers, laptops, etc.; more than simple query interfaces
Secure Communications– Currently almost non-existent for broadband
Data Standards– Crucial to information sharing
Homeland Security
Merges 22 agencies Over 55 U.S. government databases
containing information on terrorists Hundreds of other databases, varying by:
– Type– Platform– Operating system– Database schema
Homeland Security
“The Mother of all Information Integration Programs”
- Bob Shepherd, Director of Information Integration, Office of Homeland Security
Example: Australia
Centrelink project consolidates 19 million citizens’ access to government information
– 14 agencies– 40 databases
Integrated warehouse is growing at the rate of 2.5 Terabytes per week
Source: US Chamber of Commerce, 2002
Extrapolation: United States
Assuming the amount of information per citizen and the number of systems are the same, merging Homeland Security systems would result in a weekly growth rate of 36.6 Terabytes
How Much Information is 36.6TB?
7,320 DVDs 58,560 CDs 73,200 filing cabinets containing single spaced, double sided
typed pages of text 36,600,000 books
Assuming the Homeland Security Warehouse starts with zero information, it’s size would be 1,903.2 Terabytes after one year
At 165,000 employees, each Homeland Security staff member would have to read 221.8 books a week to digest it all!
In 2003 the largest known database in the world contained 500 terabytes of information (Stanford Linear Accelerator Center)
Current State of the Art in LE
Data Sharing/Integration:– Most recent efforts have concentrated in this area– Examples of current efforts:
Organization for Structured Information Standards LegalXML Lawful Intercept Standard
IACP Information Integration Planning Model RISSNet
– No major integration efforts implemented yet at the national level
Current State of the Art in LE
Data Processing/Analysis:– Least amount of effort spent in this area– Lots of analytical tools, but very few databases
are integrated enough to allow multi-modal analysis
Integrated databases tend to be specialized for one or two purposes (GIS, link analysis, etc.)
– Some data mining
Current State of the Art in LE
Analytical tools:– Crime Mapping– Link Analysis– Toll analysis– Geographic Profiling– Case Management– Crime Forecasting– Multimedia Databases– Facial Recognition– Biometrics
Many advances have been made in integration and analysis, but they have not yet been applied in law enforcement
Current State of the Art in LE
Many analytical/integration tools are based on old technology
Some tools don’t work as advertised Implemented before the technology is mature
Many tools inadequate for modern law enforcement needs
Some modern tools, but outdated databases
Current State of the Art in LE
Data MiningSQL Queries based on expert opinionPattern Recognition and detection algorithms
Known patterns– Facial recognition
Unknown patterns– Space/Time patterns
Fractal algorithmsAssociative and predictive artificial neural networks
Goal: provide automatic detection of potential new cases
Barriers
– Law enforcement has limited resources Not enough manpower/computing power to assess all
available information
– Private industry has greater technical expertise FBI Trilogy project
– Law Enforcement is a niche market Projects cost much more to implement than in private industry
– Technical infrastructure Outdated technology, networks
Barriers
Poor marketing on part of the government– Examples:
Total Information Awareness project (TIA) Matrix Game theoretic approaches Various TSA efforts
– Projects started without public input or awareness until after the fact
– Damage not limited to federal government projects Private industry and state/local agencies more reluctant to
take part in controversial projects
Barriers
– FOIA (Freedom of Information Act)– Concerns about liability with regards to false
positives– Uncertainty about constantly changing federal
laws– Concerns about technical life cycle in government
Government lifecycles tend to be longer Over time technology gap will continue to widen
Barriers
Privacy Concerns:– Lack of safeguards– Currently no guarantee to privacy– EU laws very different; allow for more effective
law enforcement
Public misconception of what privacy is– Anonymity not the same as privacy– Anonymity reduces responsibility
The End