Identifiying the Authorised User by Typing Speed Comparison
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract: Computers have become a ubiquitous part of the modern society. Online attacks on companies resulted in the shutdown of their networks and compromised the passwords and personal information of millions of users. Since we depend so much on computers to store and process sensitive information, it has become all the more necessary to secure them from intruders. For user authentication and identification in computer basedapplications, there is a need for simple, low-cost and unobtrusive device. A user can be defined as a person who attempts to access information stored on the computer or online using standard input device such as the keyboard. Use of biometrics such as face, fingerprints and signature requires additional tools to acquire the biometric which leads to an increase in costs. Use of a behavioral biometric which makes use of the typing pattern of an individual can be obtained using existing systems such as the standard keyboard, making it an inexpensive and extremely attractive technique. One of the major advantages of this biometric is that it is nonintrusive and can be applied covertly to augment existing cyber-security systems. In this paper we implement new process for password text analysis of keystrokes that joins monograph and digraph analysis, and uses a neural network to predict missing digraphs based on the relation between the monitored keystrokes.
Authors and Affiliations
S. Margarat Sheeba , G. Sahana , M. Sneka , M. Sowmiya , T. Sathish Kumar
Keywords
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- EP ID EP143757
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