Abstract
Cloud computing is a prototype that allows convenient, ubiquitous, and on-demand or pay-per-use access to a shared network of computing resources. Nowadays, the number of devices with Internet connectivity has been increasing. So, the increased connectivity results in a heightened risk of security attacks. The biggest threat is the Distributed Denial of Service (DDoS) attack. DDoS is one of the remarkable attacks that intentionally occupies resources and bandwidth which interrupts and block the users in order to deny the services. This paper will provide different DDoS attacks, prevention, and mitigation techniques in the cloud computing environment with the analysis. This analysis will be helpful for research in the future to ensure a successful defense against DDoS attacks in the cloud computing environment. To enhance the security in the cloud computing environment, the proposed algorithm provides better accuracy and performance.
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Jaiswal, S., Yevale, P., Jadhav, A.R., Kachhoria, R., Khadse, C. (2023). Detection of DDoS Attacks in Cloud Systems Using Different Classifiers of Machine Learning. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1435-7_18
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DOI: https://doi.org/10.1007/978-981-99-1435-7_18
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Online ISBN: 978-981-99-1435-7
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