Continuous Multimodal Biometric Authentication for PC and Handheld Devices

Today’s conventional verification system for accessing PC and handheld devices does not incorporate any post login verification. This type of system fails to address risk involved after the initial login session. With increasing personalization of computing devices, the risk extends from the erstwhile focus on malafide intervention to the issue of improper personalization of data generated out of cooperative or inadvertent intervention. Thus to ensure authenticity of the user during their entire active login period, a continuous verification is required. The current paper considers continuous unobtrusive biometric authentication technology as an approach to eliminate this problem. It also analyzes additional requirements for the unobtrusive and continuous nature of the verification system- namely unavailability of any specific modality at a given time, performance under fluctuating quality of measurable parameters and different fusion scenarios for modalities. Finally, it provides a brief framework of continuous multimodal biometric authentication using passive modalities - namely face identification, keystroke dynamics, mouse dynamics, and fingerprint which are suitable for unobtrusive continuous authentication.Keywords: Continuous verificationunobtrusive biometricmultimodal biometricssoft biometricfusionefficacy measure Additional informationNotes on contributorsRajat Kumar DasRajat Kumar Das received his B.E degree in electronics and communication engineering from Visvesvaraya Technological University, Karnataka, India, in 2005. He worked as an engineer in Cranes software international limited, Bangalore for 4 years. At present he is a MS student in IIT-Kharagpur, under Prof. Sudipta Mukhopadhyay in the Electronics & Electrical Communication Engineering, where he is working on biometric recognition.Sudipta MukhopadhyaySudipta Mukhopadhyay received his B.E. (Electrical) from Jadavpur University in 1988, M.Tech and Ph.D. in Electrical Engineering from Indian Institute of Technology, Kanpur in 1991 and 1996, respectively. After 10 years in various industries - Tata Consultancy Services Limited, Satyam Computers, Silicon Automation Systems (SASKEN Communications), General Electric India Technology Center, and Philips - he joined Indian Institute of Technology, Kharagpur as an Assistant Professor in 2005.Puranjoy BhattacharyaPuranjoy Bhattacharya received his B.Tech, M.Tech and Ph.D. in Electrical Engineering from the Indian Institute of Technology, Kanpur in 1990, 1993 and 1999, respectively. Since 1998, he has been working in industrial R&D in the areas of signal processing, pattern recognition and machine intelligence, particularly as applied to biomedical, audio and speech signals. He currentiy works at Intel Labs at Bengaluru, India.