Abstract Paper: FingerID, A New Security Model Based on Fingerprint Recognition for Personal Learning Environments (PLEs)

Abstract

The advent of computer technology has changed our lives. The Internet is a world in itself, with 1.8 billion users worldwide and growing [3]. It has provided benefits to the human race, but also created opportunities for malicious activities. Such evil activities include financial fraud, identity theft, account hacking, etc. The widespread authentication mechanism of username and password is out-dated, and does not meet current needs. Intruders and hackers have also learnt, and become more tech savvy. This raises the need to introduce a better and more reliable authentication mechanism which is not dependent on a series of characters, but rather on a technology that is unique and only possessed by the individual. Another problem faced by modern-day Internet users is that they are required to maintain a long list of passwords for their web accounts - maybe 15-20 accounts. In this paper, we propose a one-stop solution to eliminate all these problems; a new security model based on Fingerprint Recognition for Distributed Systems. This solution will make the experience of access to distributed web accounts a more secure, accessible and usable one. The findings of this paper will revolutionise the entire authentication mechanism on the web, and thereby enable the user access to distributed accounts at a single point.

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