SEEDDUP: A Three-Tier SEcurE Data DedUPlication Architecture-Based Storage and Retrieval for Cross-Domains Over Cloud

Abstract

Data deduplication has become a promising technique that significantly reduces space utilization of cloud storage servers and optimizes the network bandwidth. A variety of deduplication techniques have been proposed to enhance the cloud server’s storage efficiency. Most of the deduplication schemes do not address global indexing and user privacy issues. This paper elucidates a novel three-tier secure data deduplication architecture (referred to as SEEDDUP) for data storage and retrieval in the cloud. SEEDDUP provides data deduplication with proper indexing and user privacy. In this work, the optimal chunk size, for a given file size and format, is calculated using Cuckoo Search Algorithm. The chunk existence in the cloud is verified by the hash value generated via SHA3-512. To improve data deduplication speed, Merkle Hash Tree based MapReduce (MHTMR) is used for fast index lookup, which improves the performance at data storage and retrieval. In addition, data are encrypted based on its sensitivity level (low and high) using Niederreiter Public Key Cryptosystem. With this new SEEDDUP architecture, only legitimate users can request data successfully for limited times (k) and spurious data requests cannot be processed or handled in the cloud. Experimental results show that the proposed SEEDDUP can reduce latency, achieved good throughput and deduplication efficiency (chunk size variance and security measures) in data deduplication.

KEYWORDS:

• Access control
• Cloud storage
• Data encryption
• Secure data deduplication
• SHA3-512
• Users privacy

Additional information

Notes on contributors

B. Rasina Begum

B Rasina Begum received BE degree from Madurai Kamaraj University and ME degree from Anna University, Chennai, respectively. Now she is working as an associate professor in the Department of Computer Science and Engineering at Mohamed Sathak Engineering College, Kilakarai, Tamil Nadu. Her current research focuses on improving security in Cloud Storage. Her research interests include cloud computing, network security, and deduplication. She has published over 10 technical papers in reputed journals. She is a lifetime member of ISTE.

P. Chitra

P Chitra received PhD degree in computer science and engineering from Anna University, Chennai. She received BE and ME degrees from Madurai Kamaraj University and Anna University, Chennai, respectively. She is working as a professor in CSE department at Thiyagarajar College of Engineering, Madurai. Her current research focuses security for cloud computing systems. Her areas of specialization are high performance computing and multicore processing. She has published 40 technical papers in reputed international journals and conferences. She is a lifetime member of ISTE and CSI. Email: [email protected]