Implementation and Analysis of DoS Attack Detection Algorithms
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



Research Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015

Implementation and Analysis of DoS Attack Detection Algorithms

Rupesh Jaiswal, Dr. Shashikant Lokhande, Aditya Gulavani

Intrusion detection systems have been traditionally classified in three categories viz. Signature Based IDS, Anomaly Based IDS and Hybrid IDS. Each one of these have their own advantages and disadvantages. The anomaly based IDS can detect novel attacks without knowing the actual payload contents if tuned correctly. Anomaly based IDS depends on the rate of data packets at the interface. But the main drawback of using anomaly based IDS is it can produce large number of false positives. The signature based IDS while not producing false positives cannot detect new attacks until its database is updated. The hybrid IDS combines features of both the anomaly based and signature based IDS. In this paper, we discuss the implementation of the each type the IDS. And also we measure the performance of the IDS based on RAM utilization and shows that out detection algorithm consumes less RAM compared to SNORT. Other parameters of analysis are left for future research work.

Keywords: IDS, DDoS, Attack, Anomaly

Edition: Volume 4 Issue 5, May 2015

Pages: 2085 - 2089

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How to Cite this Article?

Rupesh Jaiswal, Dr. Shashikant Lokhande, Aditya Gulavani, "Implementation and Analysis of DoS Attack Detection Algorithms", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB154678, Volume 4 Issue 5, May 2015, 2085 - 2089

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Research Paper, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015

Pages: 2085 - 2089

Implementation and Analysis of DoS Attack Detection Algorithms

Rupesh Jaiswal, Dr. Shashikant Lokhande, Aditya Gulavani

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