Featured Research

from universities, journals, and other organizations

Technology Would Help Detect Terrorists Before They Strike

Date:
October 9, 2007
Source:
University at Buffalo
Summary:
Are you a terrorist? Airport screeners, customs agents, police officers and members of the military who silently pose that question to people every day, may soon have much more than intuition to depend on to determine the answer, thanks to computer and behavioral scientists.

Are you a terrorist?

Airport screeners, customs agents, police officers and members of the military who silently pose that question to people every day, may soon have much more than intuition to depend on to determine the answer.

Computer and behavioral scientists at the University at Buffalo are developing automated systems that track faces, voices, bodies and other biometrics against scientifically tested behavioral indicators to provide a numerical score of the likelihood that an individual may be about to commit a terrorist act.

"The goal is to identify the perpetrator in a security setting before he or she has the chance to carry out the attack," said Venu Govindaraju, Ph.D., professor of computer science and engineering in the UB School of Engineering and Applied Sciences. Govindaraju is co-principal investigator on the project with Mark G. Frank, Ph.D., associate professor of communication in the UB College of Arts and Sciences.

The project, recently awarded an $800,000 grant by the National Science Foundation, will focus on developing in real-time an accurate baseline of indicators specific to an individual during extensive interrogations while also providing real-time clues during faster, routine security screenings.

"We are developing a prototype that examines a video in a number of different security settings, automatically producing a single, integrated score of malfeasance likelihood," he said.

A key advantage of the UB system is that it will incorporate machine learning capabilities, which will allow it to "learn" from its subjects during the course of a 20-minute interview.

That's critical, Govindaraju said, because behavioral science research has repeatedly demonstrated that many behavioral clues to deceit are person-specific.

"As soon as a new person comes in for an interrogation, our program will start tracking his or her behaviors, and start computing a baseline for that individual 'on the fly'," he said.

The researchers caution that no technology, no matter how precise, is a substitute for human judgment.

"No behavior always guarantees that someone is lying, but behaviors do predict emotions or thinking and that can help the security officer decide who to watch more carefully," said Frank.

He noted that individuals often are randomly screened at security checkpoints in airports or at border crossings.

"Random screening is fair, but is it effective?" asked Frank. "The question is, what do you base your decision on -- a random selection, your gut reaction or science? We believe science is a better basis and we hope our system will provide that edge to security personnel."

Govindaraju added that the UB system also would avoid some of the pitfalls that hamper a human screener's effectiveness.

"Human screeners have fatigue and bias, but the machine does not blink," he said.

The UB project is designed to solve one of the more challenging problems in developing accurate security systems -- fusing information from several biometrics, such as faces, voices and bodies.

"No single biometric is suited for all applications," said Govindaraju, who also is founder and director of UB's Center for Unified Biometrics and Sensors. "Here at CUBS, we take a unique approach to developing technologies that combine and 'tune' different biometrics to fit specific needs. In this project, we are focusing on how to analyze different behaviors and come up with a single malfeasance indicator."

The UB project is among the first to involve computer scientists and behavioral scientists working together to develop more accurate detection systems based on research from each field.

Both researchers have spent their careers studying complementary areas. Since completing his doctoral dissertation on using computational tools to do facial recognition, Govindaraju has focused on problems in pattern recognition and artificial intelligence. Since founding CUBS in 2003, he has worked on a broad range of biometric technologies and devices.

Frank, a social psychologist, has spent his career conducting research on human nonverbal communication that strongly suggests whether or not an individual is feeling emotions or telling the truth. He founded the Communication Science Center at UB in 2005 and his work, recognized and utilized by security officials around the world, now provides important information for UB computer scientists.

Frank and Govindaraju began working together partly as a result of UB 2020, the university's strategic plan, which emphasizes strengthening interdisciplinary research.

"What I like about working with Venu and his team at CUBS is that they are creating new algorithms that hold the exciting possibility of revealing information and patterns that will help us spot potential bad guys," said Frank. "We expect that there will be an advantage to combining the behavioral understanding of people with algorithm development to make better predictions."

They expect to have a working prototype of the full system within a few years.

In addition to NSF, the researchers have received funding from the Department of Defense and the UB Office of the Vice President for Research.

The grant builds on previous work by CUBS, which has attracted more than $5 million in federal and industry funding in fewer than five years. The center develops new methods for customizing homeland security and other devices that use data from physical biometrics, such as fingerprints, hand geometry and iris scans; behavioral biometrics, such as signature, voiceprint and gait, and chemical biometrics, such as DNA and body odor.


Story Source:

The above story is based on materials provided by University at Buffalo. Note: Materials may be edited for content and length.


Cite This Page:

University at Buffalo. "Technology Would Help Detect Terrorists Before They Strike." ScienceDaily. ScienceDaily, 9 October 2007. <www.sciencedaily.com/releases/2007/10/071005185129.htm>.
University at Buffalo. (2007, October 9). Technology Would Help Detect Terrorists Before They Strike. ScienceDaily. Retrieved October 1, 2014 from www.sciencedaily.com/releases/2007/10/071005185129.htm
University at Buffalo. "Technology Would Help Detect Terrorists Before They Strike." ScienceDaily. www.sciencedaily.com/releases/2007/10/071005185129.htm (accessed October 1, 2014).

Share This



More Computers & Math News

Wednesday, October 1, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Mozilla Bets On Software To Sell Its Chromecast Competitor

Mozilla Bets On Software To Sell Its Chromecast Competitor

Newsy (Oct. 1, 2014) Mozilla's Matchstick streaming device is entering a crowded market. The company is banking on open-source software to rise above the competition. Video provided by Newsy
Powered by NewsLook.com
App Teaches Kindergarteners to Code

App Teaches Kindergarteners to Code

AP (Oct. 1, 2014) They can't all read yet, but soon kindergarteners may be able to create basic computer code. Researchers in Massachusetts developed an app that teaches young kids a simple computer programming language. (Oct. 1) Video provided by AP
Powered by NewsLook.com
Microsoft Goes For Familiarity Over Novelty In Windows 10

Microsoft Goes For Familiarity Over Novelty In Windows 10

Newsy (Sep. 30, 2014) At a special event in San Francisco, Microsoft introduced its latest operating system, Windows 10, which combines key features from earlier versions. Video provided by Newsy
Powered by NewsLook.com
French Apple Fans Discover the Apple Watch

French Apple Fans Discover the Apple Watch

AFP (Sep. 30, 2014) Apple fans in France discover the latest toy, the Apple Watch. The watch comes in two sizes and an array of interchangeable, fashionable wrist straps. Duration: 00:42 Video provided by AFP
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Space & Time

Matter & Energy

Computers & Math

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins