Intrusion Detection based on Neural Network and Firefly Algorithm

Intrusion Detection based on Neural Network and Firefly Algorithm

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Part of #Intrusion Detection based on Neural Network and Firefly Algorithm# :

Publishing year : 2014

Conference : Second National Conference on Applied Research in Computer Science and Information Technology

Number of pages : 7

Abstract Intrusion Detection System (IDS) is a dynamic security protection application that monitors network or system activities to ensure network security. It is also used to detect unauthorized malicious. An available system based on neural networks fall into a local optimum. A firefly based back-propagation network can solve the problem of the slow convergence rate of the neural network algorithm. In this paper, a firefly algorithm (FA) based neural network algorithm is applied to intrusion detection. The KDD Cup 99 database was used to evaluate the proposed algorithm; And experimental results show that our proposed method has a better detection rate and convergence rate within a few iterations and is faster than single back propagation networks