DATA INTEGRITY CHECKING FOR SECURING CLOUD STORAGE USING MODIFIED BLOWFISH ALGORITHM

Article Sidebar

PDF
Published: Aug 28, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i7.4234
Keywords:
Cloud computing, Data Integrity, Third Party Auditor, Public and Private Auditability, Cloud storage model

Main Article Content

Gopalakrishnan Sekar
Government Arts College, Vyasarpadi, Chennai
A. Sathya

Abstract

Cloud computing, an emerging technology is being widely used for outsourcing the data into the cloud instead of storing it in the local physical storage. It can be accessed by either individual user or group of users. Cloud service providers must concern about the privacy, security and data integrity of the outsourced data. Service availability failure and the data loss is possible is due to the malicious intruders in the cloud environment. As the clients no longer have physical possession of data, the integrity and security of data become the major concern in the cloud computing. One of the important security concerns is to verify the integrity of data stored on cloud. To maintain the integrity of data, the user needs the help of a Third Party Auditor (TPA). The TPA checks the integrity of data bases on demand and releases audit reports that helps the user to evaluate the risk of the services they are using. TPA has the capability to check the integrity of data which is not easy for the end users. This paper elaborates new public and private auditability schemes which are used by TPA to audit the remotely stored data in the cloud and hence provide comparative analysis of existing integrity check techniques with the new technique for cloud data storage.

Downloads

Download data is not yet available.

Article Details

Issue
Vol. 8 No. 7 (2017): July-August 2017
Section
Articles

COPYRIGHT

Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
  • The journal allows the author(s) to retain publishing rights without restrictions.
  • The journal allows the author(s) to hold the copyright without restrictions.
Author Biography

Gopalakrishnan Sekar, Government Arts College, Vyasarpadi, Chennai

Assistant Professor, PG & Research Department of Computer Science, Dr. Ambedkar Government Arts College, Vyasarpadi, Chennai

References

Sookhak, M., Gani, A., Khan, M. K., & Buyya, R. (2017). Dynamic remote data auditing for securing big data storage in cloud computing. Information Sciences, 380, 101-116.

Desai, C. V., & Jethava, G. B. (2014). Survey on Data Integrity Checking Techniques in Cloud Data Storage. International Journal, 4(12).

Swapnali, and Sangita Chaudhari. "Third Party Public Auditing scheme for Cloud Storage." Procedia Computer Science 79 (2016): 69-76.

Liu, C., Ranjan, R., Yang, C., Zhang, X., Wang, L., & Chen, J. (2015). MuR-DPA: Top-down levelled multi-replica merkle hash tree based secure public auditing for dynamic big data storage on cloud. IEEE Transactions on Computers, 64(9), 2609-2622.

Goyal, Renuka, and Navjot Sidhu. "Third Party Auditor: An Integrity Checking Technique for Client Data Security in Cloud Computing." International Journal of Computer Science & Information Technologies 5 (2014).

Attas, Dalia, and Omar Batrafi. "Efficient integrity checking technique for securing client data in cloud computing." IJECS 8282.6105 (2011): 11.

Morghade, Rahul K., and Sonal Honale. "International Journal Of Engineering Sciences & Research Technology Data Storage Security in Cloud Computing Using Third Party Auditor (TPA)".

Han, Shuai, and Jianchuan Xing. "Ensuring data storage security through a novel third party auditor scheme in cloud computing." Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on. IEEE, 2011.

Hsien, W. F., Yang, C. C., & Hwang, M. S. (2016). A Survey of Public Auditing for Secure Data Storage in Cloud Computing. IJ Network Security, 18(1), 133-142.

Jenifer, Ms A. Emily, and Ms S. Karthigaiveni. "New Public Integrity Auditing Scheme for Cloud Data Storage Using Mac And Symmetric Key Cryptographic Algorithms." International Journal of Applied Engineering Research 11.3 (2016): 1894-1899.

Wang, Cong, et al. "Privacy-preserving public auditing for secure cloud storage." IEEE transactions on computers 62.2 (2013): 362-375.

Ateniese, Giuseppe, et al. "Scalable and efficient provable data possession." Proceedings of the 4th international conference on Security and privacy in communication netowrks. ACM, 2008.

Juels, Ari, and Burton S. Kaliski Jr. "PORs: Proofs of retrievability for large files." Proceedings of the 14th ACM conference on Computer and communications security. Acm, 2007.

Wang, Qian, et al. "Enabling public auditability and data dynamics for storage security in cloud computing." IEEE transactions on parallel and distributed systems 22.5 (2011): 847-859.

Zhang, Jianhong, and Qiaocui Dong. "Efficient ID-based public auditing for the outsourced data in cloud storage." Information Sciences 343 (2016): 1-14.

Liu, Chang, et al. "X" Future Generation Computer Systems 49 (2015): 58-67.

Sookhak, Mehdi, et al. "A review on remote data auditing in single cloud server: Taxonomy and open issues." Journal of Network and Computer Applications 43 (2014): 121-141.

Aurora, Tanjyot, and Parul Arora. "Blowfish Algorithm." International Journal of Computer Science and Communication Engineering IJCSCE Special issue on “Recent Advances in Engineering & Technology†NCRAET 3.4 (2013): 238-243.

Balakrishnan, S., et al. "Introducing effective third party auditing (tpa) for data storage security in cloud." International Journal of computer science and Technology 2.2 (2011): 397-400.