Master'sOpen Access

Statistical based detection of DOS: (Denial of Service) attacks

2012
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Advisor: Yrd. Doç. Dr. Abdül Kadir Görür

Abstract (EN)

Automated detection of anomalies in network traffic is an important and challenging task. Anomalies and intrusion are the main factors the affects the network performance. Detecting intruders that are aiming in degrading and preventing access to certain web pages or network address is the aim of many research works. In this work we propose an automated system to detect Denial of Service (DoS) attacks by using statistical methods. Related research work in this field will be surveyed and the aim will be the design of an enhanced method. Visual Basic .Net will used in designing the programs.The proposed program will be tested on real environment and its effectiveness will be verified.

Author

Tariq Abed Mohamad

How to Cite

Tariq Abed Mohamad (Master Thesis). Statistical based detection of DOS: (Denial of Service) attacks, 2012, Çankaya University.

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