Misuse detection
Misuse Detection actively works against potential insider threats to vulnerable company data.
Misuse
Misuse detection is an approach in detecting attacks. In misuse detection approach, we define abnormal system behaviour at first, and then define eny other behaviour, as normal behaviour. It stands against anomaly detection approach which utilizes the reverse approach, defining normal system behaviour and defining any other behaviour as abnormal. Insider misuse of technical systems is a growing problem in companies world-wide. In 1996, 62.9 percent of companies reported misuse of computer systems by insiders [1]. The concept of Misuse Detection is to track computer use within a company and prevent users from compromising critical company data.
Theory
In theory, It assumes that abnormal behaviour and activity has a simple to define model. Its advantage is simplicity of adding known attacks to the model. Its disadvantage is its inability to recognize unknown attacks.
Notes
- ^ "The Insider Threat To Information Systems" by Eric D. Shaw, Ph.D., Keven G. Ruby, M.A. and Jerrold M. Post, M.D.
Further Reading
For more information on Misuse Detection, including papers written on the subject, consider the following:
- Misuse Detection Concepts and Algorithms - article by the IR Lab at IIT.