Network Traffic Monitoring And BotNet Detection Using K-ANN Algorithm

Due to increase of the cyber threats, we have made cyber security paramount for protecting personal and private information to get move secure network in the real time information, we have to provide the most highly secure network environment, network traffic monitoring and the most important threats detection system that is varied from the enterprise networks. In this paper we have concept for the issue of handling the large amount of network traffic data for the enterprise system it can simultaneously provide real time monitoring. Basically we introduced and evaluated on threat detection which is highly intensive network traffic for real time and we utilizes K-ANN (Kohonen Artificial Neural Network) algorithm detection of abnormal network activities. Remote device which is directly connect seed to server and has authority to monitoring and modifying the network activity. To avoid all the above problems we can set up WLAN with the serves machine which can handle and monitor the LAN network.