Zero knowledge based client side deduplication for encrypted files of secure cloud storage in smart cities |
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| Affiliation: | 1. School of Cyber Engineering, Xidian University, Xi’an, 710071, PR China;2. Department of ECE, Michigan State University, East Lansing, MI, 48824, USA;1. College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China;2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, Jiangsu, China;3. Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing, Jiangsu, China;1. Department of Communication Systems Engineering, Ben-Gurion University, Beer-Sheva, Israel;2. Department Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA;3. Department Electrical Engineering, Technion–Israel Institute of Technology, Haifa 32000, Israel;4. Department of Computer Science, The University of Arizona, Tucson, AZ 85721, USA;5. Department Electrical Engineering, Columbia University, New York, NY 10027, USA;7. Akamai Technologies, 150 Broadway, Cambridge, MA 02142, USA;1. Department of Electrical & Information Engineering, Fuzhou University, Fuzhou, China;2. Department of Communication Engineering, Xiamen University, Xiamen, Fujian, China;3. Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan;1. Department of Computer & Information Science, University of Konstanz, Germany;2. School of Mathematical Sciences, The University of Adelaide and ARC Centre of Excellence for Mathematical and Statistical Frontiers, Australia;3. Department of Computer Science, COMSATS Institute Of Information Technology, Islamabad, Pakistan;4. Department of Computer Science, The University of Poonch, Rawlakot, Azad Jammu and Kashmir;5. Department of Computer Science, Brown University, USA;6. National University of Sciences and Technology, Pakistan;1. College of Computer Science and Engineering, University of Electronic Science and Technology of China, China;2. College of Engineering, Mathematics and Physical Sciences, University of Exeter, UK;3. Department of Computing and Mathematics, University of Derby, Derby, UK;4. Department of Computer and Information Sciences and Digital Technologies, Northumbria University, Newcastle upon Tyne, UK |
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| Abstract: | As typical applications in the field of the cloud computing, cloud storage services are popular in the development of smart cities for their low costs and huge storage capacity. Proofs-of-ownership (PoW) is an important cryptographic primitive in cloud storage to ensure that a client holds the whole file rather than part of it in secure client side data deduplication. The previous PoW schemes worked well when the file is in plaintext. However, the privacy of the clients’ data may be vulnerable to honest-but-curious attacks. To deal with this issue, the clients tend to encrypt files before outsourcing them to the cloud, which makes the existing PoW schemes inapplicable any more. In this paper, we first propose a secure zero-knowledge based client side deduplication scheme over encrypted files. We prove that the proposed scheme is sound, complete and zero-knowledge. The scheme can achieve a high detection probability of the clients’ misbehavior. Then we introduced a proxy re-encryption based key distribution scheme. This scheme ensures that the server knows nothing about the encryption key even though it acts as a proxy to help distributing the file encryption key. It also enables the clients who have gained the ownership of a file to share the file with the encryption key generated without establishing secure channels among them. It is proved that the clients’ private key cannot be recovered by the server or clients collusion attacks during the key distribution phase. Our performance evaluation shows that the proposed scheme is much more efficient than the existing client side deduplication schemes. |
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| Keywords: | Cloud storage Deduplication Encrypted files Zero knowledge Proxy re-encryption |
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