Risk

8/28/2013
01:35 PM
Dark Reading
Dark Reading
Slideshows
50%
50%

Iris Scans: Security Technology In Action

Iris-based security scans are the stuff of sci-fi movies, but NIST research shows how the technology can now be used in the real world to reliably identify individuals.
Previous
1 of 6
Next


Sci-fi films routinely lead viewers to believe that scanning an individual's iris is a proven way to identify them, but in practice, the results haven't always been 100% dependable. One of the most significant challenges isn't the technology, but how slight changes in the structure of the iris can throw off calculations used in comparing images of the human eye.

The long-term stability of the iris' distinguishing characteristics, critical for biometric identification, had come under question when a recent study of several hundred subjects found that iris recognition becomes increasingly difficult over a period of three years, consistent with an aging effect.

The latest in an ongoing series of studies of iris recognition for biometric identification, however, refutes that. Scientists at the National Institute of Standards and Technology (NIST) have found that the unique characteristics of the iris in the average person do not change for at least nine years. The results of the study, conducted by researchers in NIST's Information Access division, suggest that iris recognition of average individuals will remain viable for decades. They also imply that identity program managers may not need to recapture iris images as frequently, which factors into the total overall cost of maintaining iris recognition systems.

The new study by NIST researchers used two large operational data sets, including one of nearly 8,000 recurrent travelers across the Canadian-American border, involving millions of images. The travelers, like the woman pictured here in a photograph supplied by the Canadian Border Services Agency, use an iris identification system to confirm the individuals' identity. The system is part of a joint Canadian and American program to help people move quickly across the border. The study examined images that had been captured at least four years and up to nine years previously. NIST researchers found no evidence of a widespread aging effect.

NIST has been working with a variety of organizations to help improve the use of iris recognition systems. In that vein, it established the Iris Exchange program in 2008. The program has sought to establish standards for iris recognition, as well as the development and deployment of systems used to capture and identify iris images. Sponsors of the program include the FBI's Criminal Justice Information System Division and the Office of Biometric Identity Management in the Department of Homeland Security.

Previous
1 of 6
Next
Comment  | 
Print  | 
More Insights
Comments
Threaded  |  Newest First  |  Oldest First
WKash
50%
50%
WKash,
User Rank: Apprentice
9/3/2013 | 5:27:27 PM
re: Iris Scans: Security Technology In Action
The Canadian Border Services Agency and DHS deserve credit for putting iris recognition systems to the test in the field and sharing the data on how reliable the systems are.
Want Your Daughter to Succeed in Cyber? Call Her John
John De Santis, CEO, HyTrust,  5/16/2018
Don't Roll the Dice When Prioritizing Vulnerability Fixes
Ericka Chickowski, Contributing Writer, Dark Reading,  5/15/2018
Why Enterprises Can't Ignore Third-Party IoT-Related Risks
Charlie Miller, Senior Vice President, The Santa Fe Group,  5/14/2018
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
Write a Caption, Win a Starbucks Card! Click Here
Latest Comment: "Security through obscurity"
Current Issue
How to Cope with the IT Security Skills Shortage
Most enterprises don't have all the in-house skills they need to meet the rising threat from online attackers. Here are some tips on ways to beat the shortage.
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-2018-11232
PUBLISHED: 2018-05-18
The etm_setup_aux function in drivers/hwtracing/coresight/coresight-etm-perf.c in the Linux kernel before 4.10.2 allows attackers to cause a denial of service (panic) because a parameter is incorrectly used as a local variable.
CVE-2017-15855
PUBLISHED: 2018-05-17
In Qualcomm Android for MSM, Firefox OS for MSM, and QRD Android with all Android releases from CAF using the Linux kernel, the camera application triggers "user-memory-access" issue as the Camera CPP module Linux driver directly accesses the application provided buffer, which resides in u...
CVE-2018-3567
PUBLISHED: 2018-05-17
In Qualcomm Android for MSM, Firefox OS for MSM, and QRD Android with all Android releases from CAF using the Linux kernel, a buffer overflow vulnerability exists in WLAN while processing the HTT_T2H_MSG_TYPE_PEER_MAP or HTT_T2H_MSG_TYPE_PEER_UNMAP messages.
CVE-2018-3568
PUBLISHED: 2018-05-17
In Qualcomm Android for MSM, Firefox OS for MSM, and QRD Android with all Android releases from CAF using the Linux kernel, in __wlan_hdd_cfg80211_vendor_scan(), a buffer overwrite can potentially occur.
CVE-2018-5827
PUBLISHED: 2018-05-17
In Qualcomm Android for MSM, Firefox OS for MSM, and QRD Android with all Android releases from CAF using the Linux kernel, a buffer overflow vulnerability exists in WLAN while processing an extscan hotlist event.