INTRUSION DETECTION SYSTEM IN CLOUD COMPUTING USING ARTIFICIAL NEURAL NETWORK WITH CUCKOO SEARCH APPROACH

Abstract

In recent years, with the increasing popularity of cloud computing, security in the cloud has become an important topic. The detection and blocking of attacks is better compared to responding attacks after the system is threatened. Intrusion Detection System (IDS) is an important part of maintaining network security. Also, with the rapid development of cloud platforms it’s getting more and more popular in our daily life, it's very useful, and required to build valid IDS for the cloud. However, existing intrusion detection technologies will might be faced challenges when deploying on the cloud platform. This paper proposed a secure cloud environment for the cloud application user using an integrated approach of nature inspired Cuckoo Search (CS) with Artificial neural Network (ANN) approach. Here, CS is used to select the best properties of the nodes and then used as an input data to the ANN structure. ANN algorithm helps to safeguard cloud framework from the attacks.