Known User Continuous Authentication System for Consumer Application Software

This paper presents KUCAS (Known User Continuous Authentication System), a work-in-progress security system, that has a continuous authentication mechanism of users/consumers. The KUCAS system makes use of environmental context information, users behavior analysis, the behavior theories of Skinner and the Mathematical Confidence of Dempster-Shafer Evidences Theory, that establishes trust levels to authenticate the user by his behavior analysis, during an application software, in a specific domain of the computer networks, in a period of time. The dynamics of enclosed management in this system compares the current behavior with the user´s previous behaviors description and with the trust restrictions. In case of indications of changes in the user´s behavior, the system provides the behavior analysis of the user using database restrictions information. If there are uncertainties and divergences, mechanisms of security and alert signals are triggered.