A Provably Secure Distant Data Integrity Checking With Homomorphic Hash Function in Secure Cloud Storage
Manasa M J1, S Usha2, Rajesh K S3
1Manasa M J*, Department of Computer Science Engineering RajaRajeswari College of Engineering, Bangalore, India.
2S Usha, Department of Computer Science Engineering RajaRajeswari College of Engineering, Bangalore, India.
3Rajesh K S, Department of Computer Science Engineering RajaRajeswari College of Engineering, Bangalore, India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 4601-4605 | Volume-9 Issue-1, November 2019. | Retrieval Number: K21150981119/2019©BEIESP | DOI: 10.35940/ijitee.K2115.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The cloud storage with user facilities like great data storage quality, higher computing, scalable and flexible has been one of the major application of cloud computing. Large number of data holders is subcontracting the files to the cloud. The cloud server being a public domain is not very reliable thus the data holders are required to find a reliable and trustworthy way to check the ownership of the data files that they subcontract on the cloud server which is present in a remote location. To tackle this drawback number of Distant Data Integrity Checking (DDIC) protocols is in the literature but these protocols have liabilities with respect to the data dynamics and the efficiency. This work recommends a novel DDIC protocol built across homomorphic-hash-function. This system gives a resistance against number of attacks like replay, replaces and falsifications. This work introduces the Operation-record-table(ORT) which is an optimized table resulting in keeping the constant cost for supporting the data variations and keep tracks of blocking the file operations.
Keywords: Cloud computing, DDIC: Distant Data Integrity Checking, Operation-record-table, Data Dynamics, Homomorphic-hash-functions
Scope of the Article: Cloud computing