DDoS Attack Detection Using Fast Entropy Approach on Flow- Based Network Traffic

Author:

David Jisa,Thomas Ciza

Publisher

Elsevier BV

Subject

General Engineering

Reference8 articles.

1. Petar Cisar, “A Flow based algorithm for Statistical Anomaly Detection”, In Proceedings of the 7th International Symposium of Hungarian Researches on Computational Intelligence.

2. T. Ditcheva and Lisa Fowler, “Signature-based Intrusion Detection” class notes for COMP290-040, University of North Carolina at Chapel Hill, Feb. 2005.

3. Stephen M. Specht, Ruby B. Lee “Distributed Denial of Service: Taxonomies of Attacks, Tools and Countermeasures”, In Proceedings of the International Conferences on Parallel and Distributed system, pp. 543-550, September 2004.

4. B. Song, J Heo, and C. S. Hong, “Collaborative Defense Mechanism Using Statistical Detection Method against DDoS attacks”, IEICE TRANS. COMMUN E90-B, 2007, pp. 2655-2644.

5. J. Wang, X. Yang, and K. Long, “A new relative entropy based app-DDoS detection method”, In Proceedings of the IEEE symposium on Computers and Communications, pp. 966-968, Riccione, Italy 2010.

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