Abstract: Cloud computing is the recent fashionable approach used to provide computing services such as storage, database, network, software, analytics and more over the internet. As the communication has been performed through wireless link, therefore, the security of cloud data should becomes a major concern. To resolve this problem, IDS (Intrusion Detection System) is designed for cloud system using Artificial Neural Network (ANN) with Cuckoo Search (CS) approach. In the beginning, the CS algorithm is used to choose the cloud server's best features. The CS algorithm is used to refine the path between the source server node and the destination server node. Therefore, when intruder joins the network, its properties are correlated with the properties that are contained in the database. If the properties are not matched then, it is detected as intruder otherwise; normal server and starts communication. ANN is equipped based on structured properties such as site co-ordinates, distance between servers and energy consumed by the system. Furthermore, the built model's output is ultimately calculated and correlated with the existing work.
Keywords: Network, Artificial Neural Network (ANN), Intrusion Detection System (IDS), Cuckoo Search (CS).
Title: A SECURE INTRUSION DETECTION SYSTEM USING COA WITH ANN FOR CLOUD COMPUTING ENVIRONMENT
Author: DHEERAJ KUMAR, RAJAN SACHDEVA
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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