A Scalable Data Integrity Mechanism Based on Provable Data Possession and JARs

作者：Zafar Faheem; Khan Abid^*; Ahmed Mansoor; Khan Majid Iqbal; Jabeen Farhana; Hamid Zara; Ahmed Naveed; Bashir Faisal

来源：KSII Transactions on Internet and Information Systems, 2016, 10(6): 2851-2873.

DOI：10.3837/tiis.2016.06.022

• Data Integrity
• Provable Data Possession
• Storage as a Service (SaaS)
• Storage Security
• Scalability

Cloud storage as a service provides high scalability and availability as per need of user, without large investment on infrastructure. However, data security risks, such as confidentiality, privacy, and integrity of the outsourced data are associated with the cloud-computing model. Over the year's techniques such as, remote data checking (RDC), data integrity protection (DIP), provable data possession (PDP), proof of storage (POS), and proof of retrievability (POR) have been devised to frequently and securely check the integrity of outsourced data. In this paper, we improve the efficiency of PDP scheme, in terms of computation, storage, and communication cost for large data archives. By utilizing the capabilities of JAR and ZIP technology, the cost of searching the metadata in proof generation process is reduced from O(n) to O(1). Moreover, due to direct access to metadata, disk I/O cost is reduced and resulting in 50 to 60 time faster proof generation for large datasets. Furthermore, our proposed scheme achieved 50% reduction in storage size of data and respective metadata that result in providing storage and communication efficiency.

• 出版日期2016-6-30