Intrusion Detection System based on Particle Swarm Optimized Neural Network

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 11

Published

June 2016

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Open Access

Licence

CC BY-NC-SA 4.0

Priyanka Pawar Damodar Tiwari

This paper presents the performance of Neural Network for various values of number of clusters, based on experiments. The optimization of output is done using Particle Swarm Optimization (PSO) by selecting initial through PSO. Particle Swarm Optimization is used to optimize the output of our system, by appropriate selecting the input parameters through PSO. In this paper, an algorithm based on the Particle Swarm Optimization and Neural Network for analyzing program behaviour in intrusion detection is evaluated by experiments.

Priyanka Pawar, Damodar Tiwari (2016). Intrusion Detection System based on Particle Swarm Optimized Neural Network. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 11. ISSN: 2319-4863.

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