Provided by: International Journal of Computer Science and Management Research (IJCSMR)
With the tremendous growth in information technology, network security is one of the challenging issue and so as Intrusion Detection System (IDS). IDS is an essential component of network to be secured. Data mining is used to identify new patterns which were not known previously from large volume of network data set. Data mining uses C4.5 and multiboosting simultaneously. Multiboosting is used to reduce both bias and variance. Taking into account the performance and storage capacity of smart-phones, the authors propose a Lightweight Intrusion Detection System model based on android - LIDS, which changes the traditional passive antivirus to active defense.