Misuse detection actively works against potential insider threats to vulnerable computer data.
Misuse
Misuse detection is an approach to detecting computer attacks. In a misuse detection approach, abnormal system behaviour is defined first, and then all other behaviour is defined as normal. It stands against the anomaly detection approach which utilizes the reverse: defining normal system behaviour first and defining all other behaviour as abnormal. With misuse detection, anything not known is normal. An example of misuse detection is the use of attack signatures in an intrusion detection system. Misuse detection has also been used more generally to refer to all kinds of computer misuse.[1]
Theory
In theory, misuse detection assumes that abnormal behaviour has a simple-to-define model. Its advantage is the simplicity of adding known attacks to the model. Its disadvantage is its inability to recognize unknown attacks.
References
- ^ Helman, Paul, Liepins, Gunar, and Richards, Wynette, "Foundations of Intrusion Detection," The IEEE Computer Security Foundations Workshop V, 1992
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.