A hybrid method consisting of GA and SVM for intrusion detection system

Author:

Aslahi-Shahri B. M.,Rahmani R.,Chizari M.,Maralani A.,Eslami M.,Golkar M. J.,Ebrahimi A.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference42 articles.

1. Massa D, Valverde R (2014) A fraud detection system based on anomaly intrusion detection systems for e-commerce applications. Comput Inf Sci 7(2):117

2. Luo B, Xia J (2014) A novel intrusion detection system based on feature generation with visualization strategy. Expert Syst Appl 41(9):4139

3. Agah A, Das SK, Basu K, Asadi M (2004) In: Proceedings of network computing and applications, 2004 (NCA 2004). Symposium on third IEEE international. IEEE, pp 343–346

4. Anantvalee T, Wu J (2007) Wireless network security. Springer, US, pp 159–180

5. Hwang K, Cai M, Chen Y, Qin M (2007) Hybrid intrusion detection with weighted signature generation over anomalous internet episodes. IEEE Trans Dependable Secure Comput 4(1):41–55

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