2011/08/03 by Hazarath Munaga, Munaga, Hazarath, J. V. R. Murthy +4
Computer Science · #Cryptography and Security (cs.CR) #Data Management and Algorithms #FOS: Computer and information sciences #Time Series Analysis and Forecasting #User Authentication and Security Systems #cs.CR
paper · pdf · doi:10.48550/arxiv.1108.0741
International Journal of Recent Trends in Engineering, Vol. 3, No. 1, 2010
arxiv created 2011/08/03 · openalex publication_date 2011/08/03 · arxiv updated 2011/08/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.