Anomalous Network Packet Detection

Lieferzeit: Lieferbar innerhalb 14 Tagen

35,90 

Using stream mining and clustering algorithms

ISBN: 3330047089
ISBN 13: 9783330047082
Autor: Mohammed, Ahmed Burhan
Verlag: LAP LAMBERT Academic Publishing
Umfang: 84 S.
Erscheinungsdatum: 14.03.2017
Auflage: 1/2017
Format: 0.6 x 22 x 15
Gewicht: 143 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 2136802 Kategorie:

Beschreibung

In the last decade, extensive research has been done to the improvement of Intrusion Detection Systems (IDS) for anomalous network packets. Two types of IDS are available. The first one is the signature-based detection system. It can detect intrusions by scanning network packets and compare them with human-generated signatures against previously observed attacks. The second type is the anomaly-based detection system, which is able to detect new attacks against observed attacks.

Autorenporträt

Ahmed B. Mohammed studied Software Engineering at Technical Collage Kirkuk, in 2015 got M.Sc. degree in Computer Engineering at Cankaya University. I Have many certificates in CompTIA A+, CCNA, IC3. Currently instructor in Kirkuk University. My interest is to work in Data Mining, Machine Learning, Big Data, Classification, Clustering.

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