Abstract
Data storage and privacy are the major concerns in the cloud environment. Cloud space is said to be fast if it utilizes the space efficiently. Also, to speed up the entire process, it is also required to choose specific algorithms for the encryption of the data. This paper presents a hybrid solution to the selection of algorithms for encryption. Data duplication is also one of the major concerns in cloud computing. If the duplication rate is very high then it is turned as DDoS (Distributed Denial of Service) which results into a huge waste of resources. This paper is also concerned about the identification and removal of the DDoS attack. For the same purpose, Artificial Bee Colony Algorithm has been used. An enhanced genetic algorithm for the minimization of unused data bit patterns to prevent the user from the additional costs is also proposed.
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Kapur, S., Kumar, D. (2021). A Load-Balancing User Management Approach to Prevent DDoS Attack at Cloud Network. In: Rathore, V.S., Dey, N., Piuri, V., Babo, R., Polkowski, Z., Tavares, J.M.R.S. (eds) Rising Threats in Expert Applications and Solutions. Advances in Intelligent Systems and Computing, vol 1187. Springer, Singapore. https://doi.org/10.1007/978-981-15-6014-9_35
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DOI: https://doi.org/10.1007/978-981-15-6014-9_35
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