Machine Learning Based Intrusion Detection System for Social Network of Europe

Author:

Sengupta Nandita1

Affiliation:

1. University College of Bahrain

Publisher

ACM Press

Reference22 articles.

1. D. Gupta, S. Singhal, S. Malik and A. Singh. 2016. Network intrusion detection system using various data mining techniques. In Proceedings of International Conference on Research Advances in Integrated Navigation Systems (RAINS), IEEE, 6-7th May 2016.

2. A A Aryachandra; Y Fazmah Arif; S Novian Anggis. 2016. Intrusion Detection System (IDS) server placement analysis in cloud computing. In the Proceedings of 4th International Conference on Information and Communication Technology (ICoICT), 2016, IEEE, 25-27th May 2016.

3. V. Degeler, R. French, K.Jones. 2016. Self-Healing Intrusion Detection System Concept, In the Proceedings of 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS), 2016 IEEE, 9-10th April 2016.

4. R. Bronte, H. Shahriar, and H. M. Haddad. 2016. A Signature-Based Intrusion Detection System for Web Applications Based on Genetic Algorithm. In Proceedings of the 9th International Conference on Security of Information and Networks(SIN '16). ACM, New York, NY, USA, DOI: http://doi.acm.org/10.1145/2947626.2951964

5. N. Sengupta, J. Sen, J. Sil and M. Saha. 2013. Designing of On Line Intrusion Detection System Using Rough Set Theory and Q Learning Algorithm, Elsevier Journal, Neurocomputing, volume 111, pages 161--168, July 2013.

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