Your responses to certain stimuli — foods, celebrities, words — might seem trivial, but they say a lot about you. In fact (with the proper clearance), these responses could gain you access into restricted areas of the Pentagon.
A team of researchers at Binghamton University, led by Assistant Professor of Psychology Sarah Laszlo and Assistant Professor of Electrical and Computer Engineering Zhanpeng Jin, recorded the brain activity of 50 people wearing an electroencephalogram headset while they looked at a series of 500 images designed specifically to elicit unique responses from person to person — e.g., a slice of pizza, a boat, Anne Hathaway, the word “conundrum.” They found that participants’ brains reacted differently to each image, enough that a computer system was able to identify each volunteer’s “brainprint” with 100 percent accuracy.
“When you take hundreds of these images, where every person is going to feel differently about each individual one, then you can be really accurate in identifying which person it was who looked at them just by their brain activity,” said Laszlo.
In their original study, titled “Brainprint,” published in 2015 in Neurocomputing, the research team was able to identify one person out of a group of 32 by that person’s responses, with only 97 percent accuracy, and that study only incorporated words, not images.
“It’s a big deal going from 97 to 100 percent because we imagine the applications for this technology being for high-security situations, like ensuring the person going into the Pentagon or the nuclear launch bay is the right person,” said Laszlo. “You don’t want to be 97 percent accurate for that, you want to be 100 percent accurate.”
According to Laszlo, brain biometrics are appealing because they are cancellable and cannot be stolen by malicious means the way a finger or retina can. The results suggest that brainwaves could be used by security systems to verify a person’s identity.
“If someone’s fingerprint is stolen, that person can’t just grow a new finger to replace the compromised fingerprint — the fingerprint for that person is compromised forever. Fingerprints are ‘non-cancellable.’ Brainprints, on the other hand, are potentially cancellable. So, in the unlikely event that attackers were actually able to steal a brainprint from an authorized user, the authorized user could then ‘reset’ their brainprint,” Laszlo said.
Zhanpeng Jin, assistant professor at Binghamton University’s departments of Electrical and Computer Engineering, and Biomedical Engineering, doesn’t see this as the kind of system that would be mass-produced for low security applications (at least in the near future) but it could have important security applications.
New technology being developed by research collaborators Sarah Laszlo and Zhanpeng Jin have delivered stunning results over the ability to identify human beings through brain scans.
“We tend to see the applications of this system as being more along the lines of high-security physical locations, like the Pentagon or Air Force Labs, where there aren’t that many users that are authorized to enter, and those users don’t need to constantly be authorizing the way that a consumer might need to authorize into their phone or computer,” Jin said.
Funding: This work was supported by American Federation for Aging Research and SLEIC, part of Penn State’s Social Science Research Institute.
Source: John Brhel – Binghamton University
Image Source: The image is credited to Jonathan Cohen/Binghamton University.
Video Source: The video is credited to LSWN.it – Latest Science Web News.
Original Research: Abstract for “CEREBRE: A Novel Method for Very High Accuracy Event-Related Potential Biometric Identification” by M. V. Ruiz-Blondet; Z. Jin; and S. Laszlo in IEEE Transactions on Information Forensics and Security. Published online March 17 2016 doi:10.1109/TIFS.2016.2543524
Abstract
CEREBRE: A Novel Method for Very High Accuracy Event-Related Potential Biometric Identification
The vast majority of existing work on brain biometrics has been conducted on the ongoing electroencephalogram. Here, we argue that the averaged event-related potential (ERP) may provide the potential for more accurate biometric identification, as its elicitation allows for some control over the cognitive state of the user to be obtained through the design of the challenge protocol. We describe the Cognitive Event-RElated Biometric REcognition (CEREBRE) protocol, an ERP biometric protocol designed to elicit individually unique responses from multiple functional brain systems (e.g., the primary visual, facial recognition, and gustatory/appetitive systems). Results indicate that there are multiple configurations of data collected with the CEREBRE protocol that all allow 100% identification accuracy in a pool of 50 users. We take this result as the evidence that ERP biometrics are a feasible method of user identification and worthy of further research.
“CEREBRE: A Novel Method for Very High Accuracy Event-Related Potential Biometric Identification” by M. V. Ruiz-Blondet; Z. Jin; and S. Laszlo in IEEE Transactions on Information Forensics and Security. Published online March 17 2016 doi:10.1109/TIFS.2016.2543524
