• Ashutosh Kumar Agarwal
• Sandhya Tarar

The growth in Internet, makes the network vulnerable. At present, companies spend a large sum of money to protect their confidential data from the various attacks they face. This paper suggests an Intrusion Detection System based on the EBPNN model combined together with the Genetic Algorithm (GA). The system which is proposed in the paper was simulated using a reference intrusion data set for NSDKDD to verify its feasibility and effectiveness for this data.

Genetic Algorithm (GA), Error Back Propagation Neural Network (EBPNN), Intrusion Detection System (IDS), Recurrent Neural Network (RNN)

"Intrusion Detection Using Error Back - Propagation Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.148-153, May-2019, Available :http://www.jetir.org/papers/JETIR1905A26.pdf

"Intrusion Detection Using Error Back - Propagation Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp148-153, May-2019, Available at : http://www.jetir.org/papers/JETIR1905A26.pdf