Intrusion Detection and Auto Response Using a Genetic Classifier Approach

Intrusion is actually detecting anomalies user and other anomalies that exists in a system. In most situations, it is very difficult to realize or detect such differences before any damage occurs during break-ins. A genetic classifier -based intrusion detection system, provides active detection and automated responses during intrusions. It is designed to be a sense and response system that can monitor various activities on the network (i.e. looks for changes such as malfunctions, faults, abnormalities, misuse, deviations, intrusions, etc.). In particular, it simultaneously monitors networked computer's activities at different levels (such as user level, system level, process level and packet level) and use a genetic classifier system in order to determine a specific action in case of any security violation.

Provided by: International Journal of Communications and Engineering Topic: Security Date Added: Mar 2012 Format: PDF

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