User authentication through keystroke dynamics
ACM Transactions on Information and System Security (TISSEC)
Typing Patterns: A Key to User Identification
IEEE Security and Privacy
User re-authentication via mouse movements
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
Keystroke analysis of free text
ACM Transactions on Information and System Security (TISSEC)
Authenticating mobile phone users using keystroke analysis
International Journal of Information Security
A New Biometric Technology Based on Mouse Dynamics
IEEE Transactions on Dependable and Secure Computing
Behavioural biometrics: a survey and classification
International Journal of Biometrics
Behavioral biometrics for persistent single sign-on
Proceedings of the 7th ACM workshop on Digital identity management
Hi-index | 0.00 |
The increase of online services, such as eBanks, WebMails, in which users are verified by a username and password, is increasingly exploited by Identity Theft procedures. Identity Theft is a fraud, in which someone pretends to be someone else is order to steal money or get other benefits. To overcome the problem of Identity Theft an additional security layer is required. Within the last decades the option of verifying users based on their keystroke dynamics was proposed during login verification. Thus, the imposter has to be able to type in a similar way to the real user in addition to having the username and password. However, verifying users upon login is not enough, since a logged station/mobile is vulnerable for imposters when the user leaves her machine. Thus, verifying users continuously based on their activities is required. Within the last decade there is a growing interest and use of biometrics tools, however, these are often costly and require additional hardware. Behavioral biometrics, in which users are verified, based on their keyboard and mouse activities, present potentially a good solution. In this paper we discuss the problem of Identity Theft and propose behavioral biometrics as a solution. We survey existing studies and list the challenges and propose solutions.