A Survey on Object-based Masquerade Detection System using Temporal and Spatial Locality Features

Masquerades in computer intrusion detection is the person who unauthorized access somebody else computer account. Masquerade attacks are very difficult to detect because of they are mostly carried by insiders. The Masquerade Detection Systems (MDS) are used to prevent the user computer from the masquerade. In this paper, the problem of the masquerade detection based on different types of user behavior are considered. Previously most of the MDS are focus mainly on the user action and ignoring the object upon which that action is performed. Mostly the masquerades do not know the file system and layout of the user desktop so that they search more broadly in a manner that is different than the user. In this paper, the different masquerade detection approaches are reviewed and their results are compared.