Machine Intelligence for Biometric and On-Line Security

Mar 05, 2014

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Abstract

Security research domain has recently witnessed tremendous growth in respect to all aspects of information access and sharing. There has been notable progress in developing successful approaches to tackle the problem of user authentication. Among those approaches, biometric-based authentication firmly established itself as one of the most reliable, efficient, and versatile tools for providing discretionary access control to a secure resource or system. While state-of-the art methods for biometric authentication are becoming increasingly more powerful and better understood, the same unfortunately cannot be said about security of users populating on-line communities or cyberworld.
Ensuring safe and secure communication and interaction among users and, respectably, their on-line identities presents unique challenges to academicians, as well as the industry and the public. Despite the fact that those challenges are regularly making headlines in the news, in government reports and in IT security domain, there is a lack of effort to address this urgent problem. The limited efforts that do exists are currently restricted to network security, password protection, encryption, database security and policy-making efforts. However, one of most crucial components for ensuring on-line security ñ the relationship between communication among users and user authentication, has been largely overlooked. This crucial issue requires a systematic study and a targeted effort to develop effective security solutions for cyberworlds, which is the main topic of this proposed talk.