Authentication is one of the major problems faced by the society in interacting with cyber technology. Passwords, challenge questions, out-of-band text messages, and physiological biometrics create friction with user experience, and yet are increasingly bypassed by hackers. In this project, we will study the use of behavioral biometrics, i.e., the unique traits in user interactions with digital devices and services, for frictionless cyber authentication. We will use a principled approach based on human cognitive psychology, systems security, and data mining to design authentication schemes based on behavioral biometrics. Due to the critical importance of authentication in online and mobile banking and financial services, we will focus on and analyze the effectiveness of our authentication schemes for the use cases in this sector. Further, taking a cyber-social perspective, we will study societal aspects such as data protection legislation and policy, financial regulation compliance, and usability, as well as operational aspects such as personnel and economic impacts, deployment models, and maintenance requirements.
- Negi, Parimarjan & Sharma, Prafull & Sanjay Jain, Vivek & Bahmani, Bahman. (2018). K-means++ vs. Behavioral Biometrics: One Loop to Rule Them All. 10.14722/ndss.2018.23306.