PROFILING AND IDENTIFYING INDIVIDUAL USERS BY THEIR NATURAL LANGUAGE USAGE FOR POSITIVE IDENTIFICATION
Abstrak: Profiling and
identifying individual users is an approach to help recognize intrusions in a
computer system. User profiles are important in many applications since they
record highly user-specific information - profiles are basically built to
record information about users or for users to share experiences with each
other. Thus, user profiles are used to aggregate relevant information about a
user’s activities, and to identify patterns in their behavior. This research
uses the n-gram analysis method for characterizing each user’s style, and can
potentially provide accurate user identification. As a result, n-gram analysis
of a user's typed inputs offers another method for intrusion detection as it
may be able to both positively and negatively identify users. The contribution
of this research is to assess the use of a user’s writing styles in both
natural language as a user profile characteristic that could enable intrusion
detection where intruders masquerade as real users.
Penulis: Darusalam, Widya
Cholil
Kode Jurnal: jptkomputerdd120271
