An Adaptive Server Side Software Authentication Framework Based on User´s Activity Pattern

The current paper presents an activity pattern based session specific server side software authentication framework which exploits the fact that software usage pattern of each user has a unique signature. This uniqueness in behavior or activity pattern of a user is described to be a potentially better candidate for software authentication. The identification of signature usage pattern has been developed with adaptive approach. Based on this adaptive signature pattern, the authentication decision has been taken through a statistical computational model. The risk factor of an activity pattern based software authentication has been mitigated by an approach reported as activity transfer.