Statistical methods used for intrusion detection için kapak resmi
Statistical methods used for intrusion detection
Özardıç, Onur.
Yazar Ek Girişi:
Yayın Bilgileri:
[s.l.]: [s.n.], 2006
Fiziksel Tanımlama:
x, 71 leaves.: ill.+ 1 computer laser optical disc.
Genel Not:
Keywords: Computer networks, computer networks security, intrusion detection system, statistical methods
Computer networks are being attacked everyday. Intrusion detection systems are used to detect and reduce effects of these attacks. Signature based intrusion detection systems can only identify known attacks and are ineffective against novel and unknown attacks. Intrusion detection using anomaly detection aims to detect unknown attacks and there exist algorithms developed for this goal. In this study, performance of five anomaly detection algorithms and a signature based intrusion detection system is demonstrated on synthetic and real data sets. A portion of attacks are detected using Snort and SPADE algorithms. PHAD and other algorithms could not detect considerable portion of the attacks in tests due to lack of sufficiently long enough training data.
Yazar Ek Girişi:
Tek Biçim Eser Adı:
Thesis (Master)--İzmir Institute of Technology:Computer Engineering.

İzmir Institute of Technology:Computer Engineering--Thesis (Master).
Elektronik Erişim:
Access to Electronic Version.


Materyal Türü
Demirbaş Numarası
Yer Numarası
Durumu/İade Tarihi
Tez T000524 TK5105.59 .O991 2006

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