Feature Subset Selection Using Binary Gravitational Search Algorithm for Intrusion Detection System

Author:

Behjat Amir Rajabi,Mustapha Aida,Nezamabadi–pour Hossein,Sulaiman Md. Nasir,Mustapha Norwati

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Miller, T.: Social Engineering: Techniques that can bypass Intrusion Detection Systems (2000)

2. Gorton, A.S., Champion, T.G.: Combining Evasion Techniques to Avoid Network Intrusion Detection Systems (2004)

3. International Conference on Data Engineering (DSDE). pp. 169-172. IEEE (2010)

4. Kayacik, H.G., Zincir-Heywood, A.N., Heywood, M.I.: Selecting features for intrusion detection: A feature relevance analysis on KDD 99 intrusion detection datasets. In: Proceedings of the Third Annual Conference on Privacy, Security and Trust (PST 2005). Citeseer (2005)

5. McHugh, J.: Testing intrusion detection systems: a critique of the 1998 and 1999 DARPA intrusion detection system evaluations as performed by Lincoln Laboratory. ACM Transactions on Information and System Security 3(4), 262–294 (2000)

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