Abstract
Cloud computing provides services to the user through the Internet and is cost-efficient. It comprises of a wide range of users that makes the security of data a matter of concern. Intrusion Detection System (IDS) is a multipurpose security system either in hardware or software form applied to a network that detects abnormality in packets. Detecting intrusions involve observing any changes from normal behaviour. Cloud contains huge amount of data for which high storage space is required. To reduce the required space only relevant data is stored. This is done applying feature selection procedure. Hereby, we have proposed an IDS functioning on the concept of feature selection from NSL-KDD dataset . The efficient IDS is based on our proposed algorithm BCS-GA and gives better accuracy.
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Ghosh, P., Jha, S., Dutta, R., Phadikar, S. (2018). Intrusion Detection System Based on BCS-GA in Cloud Environment. In: Shetty, N., Patnaik, L., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. ERCICA 2016. Springer, Singapore. https://doi.org/10.1007/978-981-10-4741-1_35
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