Abstract
Cloud computing is the distributed collection of virtual computing devices which are used to store, process and outsource the data for the different vendors in dynamic manner. Data which is being the most valuable asset in cloud computing is vulnerable to security and privacy of data that is being shared and used in the cloud environment. Guaranteeing security and privacy for information management and query handling in the cloud is very much needed to provide privacy to user’s data which is stored in the cloud environment. Additionally, the main aim should be at protection from cyber-attacks and also preserve the information access and the authority sharing in multiuser collective cloud environments. To overcome these issues, a privacy preserving with enhanced access model has been proposed by using the Advanced Encryption Standard (AES) algorithm along with distributed key management technique which aims at securing data which is stored within a cloud environment. Moreover, a trusted third-party along with the data owners and data users is employed in the proposed system to make sure that authentication and authorization are carried out with independently without cloud server. By doing so, the proposed system can provide an efficient authentication with trusted third party and can provide privacy-enhanced access control to the data or information stored in the cloud environment. The proposed system is implemented using CloudSim with realistic simulation parameters. The simulation results justifies that the proposed system has better DoS attack detection and has better overhead in terms of computation, communication and storage.
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Rishiroop, B.B., Puneeth, P., Bhanuteja, T., Selvi, M., Santhoshkumar, S.V.N., Kannan, A. (2022). Privacy-Enhanced Access Control for Providing Efficient Security in Cloud Environment. In: Pandian, A.P., Palanisamy, R., Narayanan, M., Senjyu, T. (eds) Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-7330-6_60
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DOI: https://doi.org/10.1007/978-981-16-7330-6_60
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