Anomalous Network Packet Detection : Using stream mining and clustering algorithms

ISBN-13: 9783330047082 / Angielski / Miękka / 2017 / 84 str.

Ahmed Burhan Mohammed

Opis

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.

Widoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej. Nie gwarantujemy zgodności okładki z prezentowanym zdjęciem.

O autorze

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.