Risk

3/8/2011
03:06 PM
50%
50%

FBI Deploys Enhanced Fingerprint ID System

Designed by Lockheed Martin, the multimillion-dollar Next Generation Identification System lets the agency exchange fingerprint and biometric ID data around the clock with 18,000 partners.

Government Innovators
Slideshow: Government Innovators
(click image for larger view and for full slideshow)

The FBI has deployed a new biometric ID system aimed at creating a more effective and accurate process for identifying fingerprints and other forms of biometric information.

Lockheed Martin built the multimillion-dollar Next Generation Identification System (NGIS) to replace over a period of time the FBI's current Integrated Automated Fingerprint Identification System (IAFIS), which Lockheed has supported since it went live in 1999, the company said.

The new system provides an integrated fingerprint-identification system that lets the FBI exchange fingerprints with more than 18,000 law-enforcement agencies and other authorized criminal-justice partners around the clock, according to Lockheed Martin. It also provides automated fingerprint and latent search capabilities, and electronic image storage.

A key benefit of NGIS over its predecessor is its ability to process and allow authorized personnel to search for biometric identification information for material other than fingerprints, such as palm prints, iris scans, facial imaging, scars, marks, and tattoos, according to the FBI.

In addition to building the back-end system, Lockheed also is providing new workstations for use by FBI personnel. The new front-end hardware features larger display screens and higher resolution to provide more detailed biometric data.

Although it's only been deployed operationally since Feb. 25, NGIS already is achieving more accurate fingerprint-identification results, said Lockheed spokesperson Kimberly Jaindl.

NGIS matches fingerprints according to 10-print matching, which gives it an accuracy rate of more than 99% versus the legacy system's 92% accuracy, she said.

The new system also features significant improvement in system response times, with an average rate of 6 minutes on criminal checks. IAFIS took about 17 minutes for criminal checks, Jaindl said.

Indeed, NGIS is meant to produce more rapid results, which it has already proved to do in FBI tests. According to results of tests performed on the two systems posted on the FBI Web site, NGIS produced identification results of high-priority criminal cases in 10 minutes, and civil cases in 15 minutes.

With IAFIS, on the other hand, the FBI took two hours to deliver criminal investigation biometric identification and 24 hours for civil cases. The system also did not include a prioritization system based on importance.

A new time saving feature of NGIS is responsible for at least some of its ability to provide identification results more quickly. The system includes quality check automation, which eliminates a previous need for manual review of biometric information in 98% of identification transactions, according to the FBI.

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
More Than Half of Users Reuse Passwords
Curtis Franklin Jr., Senior Editor at Dark Reading,  5/24/2018
Is Threat Intelligence Garbage?
Chris McDaniels, Chief Information Security Officer of Mosaic451,  5/23/2018
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
Write a Caption, Win a Starbucks Card! Click Here
Latest Comment: This comment is waiting for review by our moderators.
Current Issue
Flash Poll
[Strategic Security Report] Navigating the Threat Intelligence Maze
[Strategic Security Report] Navigating the Threat Intelligence Maze
Most enterprises are using threat intel services, but many are still figuring out how to use the data they're collecting. In this Dark Reading survey we give you a look at what they're doing today - and where they hope to go.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2018-11505
PUBLISHED: 2018-05-26
The Werewolf Online application 0.8.8 for Android allows attackers to discover the Firebase token by reading logcat output.
CVE-2018-6409
PUBLISHED: 2018-05-26
An issue was discovered in Appnitro MachForm before 4.2.3. The module in charge of serving stored files gets the path from the database. Modifying the name of the file to serve on the corresponding ap_form table leads to a path traversal vulnerability via the download.php q parameter.
CVE-2018-6410
PUBLISHED: 2018-05-26
An issue was discovered in Appnitro MachForm before 4.2.3. There is a download.php SQL injection via the q parameter.
CVE-2018-6411
PUBLISHED: 2018-05-26
An issue was discovered in Appnitro MachForm before 4.2.3. When the form is set to filter a blacklist, it automatically adds dangerous extensions to the filters. If the filter is set to a whitelist, the dangerous extensions can be bypassed through ap_form_elements SQL Injection.
CVE-2018-11500
PUBLISHED: 2018-05-26
An issue was discovered in PublicCMS V4.0.20180210. There is a CSRF vulnerability in "admin/sysUser/save.do?callbackType=closeCurrent&navTabId=sysUser/list" that can add an admin account.