جامعة الملك عبدالعزيز

KING ABDULAZIZ UNIVERSITY

Faculty of Computing and Information Technology in Rabigh

Seminar about "Intrusion Detection in Computer Networks by Multiple Classifier Systems" in FCITR


Mr. Mohammaed Rafeeque presented a seminar about "Intrusion Detection in Computer Networks by Multiple Classifier Systems" in Computing and Information Technology Faculty at Rabigh on Monday 24/4/2011 at 12:00 noon. The following is the brief of the seminar:


Computer networks are usually protected against attacks by a number of access restriction policies that act as a coarse grain filter. Intrusion detection systems (IDS) are the fine grain filter placed inside the protected network, looking for known or potential threats in network traffic and/or audit data recorded by hosts.

 Two approaches to intrusion detection are currently used. The first one, called misuse detection, is based on attack signatures, i.e., on a detailed description of the sequence of actions performed by the attacker. This approach allows the detection of intrusions matching perfectly the signatures, so that new attacks performed by slight modification of known attacks cannot be detected.
The second approach is based on statistical knowledge about the normal activity of the computer system, i.e., a statistical profile of what constitutes the legitimate traffic in the network. In this case, intrusions correspond to anomalous network activity, i.e. to traffic whose statistical profile deviates significantly from the normal one.












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Last Update 6/15/2011 3:43:07 PM
 

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