Behavioral and Cognitive Biometrics 101
The degree of interest in applications involving “cognitive fingerprints” has taken off in recent years, spearheaded in large part by government-sponsored research initiatives such as the Defense Advanced Research Projects Agency (DARPA) Active Authentication program, which has facilitated the exploration of numerous novel, multimodal behavioral and cognitive biometric authentication systems by both academic and private industry development teams. The practical interest in using these types of new biometrics is also fueled by the boom in wearable and mobile sensor technologies, which offer a growing number of mechanisms and platforms for continuously detecting, collecting and analyzing a rich array of user data. The confluence of these advancements raises a number of promising opportunities, both in the authentication space and well-beyond (think healthcare, public safety, and insider threat detection, just for starters), along with inherent concerns regarding privacy, and the potential misuse of user data.
About the author: Caitlin Newark is a Senior Consultant in the Cyber, SIGINT & Identity Discovery division (CS&ID) , providing feasibility and performance testing, strategic consulting, and innovative research into technologies and applications involving traditional biometrics, novel physiological/behavioral/cognitive biometrics, and online identity.
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