A multi-objective privacy preservation model for cloud security using hybrid Jaya-based shark smell optimization
Author:
Publisher
Elsevier BV
Subject
General Computer Science
Reference35 articles.
1. Praveena and Rangarajan, “A machine learning application for reducing the security risks in hybrid cloud networks”, Multimedia Tools and Applications, Springer Link, July 2018.
2. K. Mohana Prabha, P. Vidhya Saraswathi, “Suppressed K-Anonymity Multi-Factor Authentication Based Schmidt-Samoa Cryptography for privacy preserved data access in cloud computing”, Computer Communications, vol. 158, pp. 85-94, May 2020.
3. An IoT-Oriented data placement method with privacy preservation in cloud environment;Xiaolong;J. Netw. Comput. Appl.,2018
4. Privacy-preserving public auditing for secure data storage in fog-to-cloud computing;Tian;J. Netw. Comput. Appl.,2019
5. Owusu-Agyemang Kwabena; Zhen Qin ; Tianming Zhuang ; Zhiguang Qin, “MSCryptoNet: Multi-Scheme Privacy-Preserving Deep Learning in Cloud Computing”, IEEE Access, vol. 7, pp. 29344 - 29354, February 2019.
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