Identifying HTTP DDoS Attacks Using Self Organizing Map and Fuzzy Logic in Internet Based Environments

Author:

Raja Sree T,Mary Saira Bhanu S

Publisher

Springer India

Reference21 articles.

1. DDoS attack. http://www.businessweek.com/articles/2014-08-26/ddos-attacks-are-soaring

2. Sebyala, A.A., Olukemi, T., Sacks, L., Sacks, D.L.: Active platform security through intrusion detection using naive bayesian network for anomaly detection. In: International Symposium on Communications, pp. 1–5. London (2002)

3. Oh, H., Chae, K.: Real-time intrusion detection system based on self-organized maps and feature correlations. In: 3rd International Conference on Convergence and Hybrid Information Technology ICCIT’08, vol. 2, pp. 1154–1158. IEEE Press, (2008)

4. Konar, A., Joshi, R.C.: An efficient intrusion detection system using clustering combined with fuzzy logic. In: Ranka, S., Banerjee, A., Biswas, K., Dua, S., Mishra, P., Moona, R., Poon, S.H., Wang, C.-L. (eds.) Contemporary Computing 2010, LNCS, vol. 94, pp. 218–228. Springer, Heidelberg (2010)

5. Byers, S., Rubin, A.D., Kormann, D.: Defending against an Internet-based attack on the physical world. ACM Trans. Internet Technol. (TOIT) 4(3), 239–254 (2004)

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