Enhanced User Authentication through Trajectory Clustering

Details Enhanced User Authentication through Trajectory Clustering Enhanced User Authentication through Trajectory Clustering

2011-08-03

arxiv.org/abs/1108.0741v1

Computer Science

Cryptography and Security

International Journal of Recent Trends in Engineering, Vol. 3, No. 1, 2010

Scientific paper

Password authentication is the most commonly used technique to authenticate the user validity. However, due to its simplicity, it is vulnerable to pseudo attacks. It can be enhanced using various biometric techniques such as thumb impression, finger movement, eye movement etc. In this paper, we concentrate on the most economic technique, based on the user habitual rhythm pattern i.e. not what they type but how they type is the measure for authenticating the user. We consider the latency between key events as the trajectory, and trajectory clustering is used to obtain the hidden patterns of the user. Obtained pattern can be considered as a cluster of measurements that can be used to differentiate from other users. We evaluated the proposed technique on the data obtained from the 100 users.

Affiliated with

Also associated with

No associations

Rating

Enhanced User Authentication through Trajectory Clustering does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Enhanced User Authentication through Trajectory Clustering, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Enhanced User Authentication through Trajectory Clustering will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-663389