Abstract
The cutting edge technology cloud provides services for end users based on pay-as-use model. Cloud computing can provide immense services like unlimited storage capacity, huge computing power, availability of Web services for organizations. Organizations can avail these services as and when required and pay for these services as per their utilization. In this endeavour, the security aspect of cloud services has been discussed. For this, the existing Honeynet system is modified using deep learning approach. In this manuscript, it is made intelligent enough to identify the potential threat and makes the cloud system robust from the DDoS attack. Experimental result has been shown to lay bare with the effectiveness of the proposed system.
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Kumar, S.B., Mukherjee, K., Dwivedi, R.K. (2020). Secured Cloud System Using Deep Learning. In: Das, A., Nayak, J., Naik, B., Dutta, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 1120. Springer, Singapore. https://doi.org/10.1007/978-981-15-2449-3_42
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DOI: https://doi.org/10.1007/978-981-15-2449-3_42
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