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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A NEW MHLA-SHAR BASED, PRIVACY PRESERVING & AUDITING MODEL, FOR CLOUD COMPUTING |
| Authors Name: | Praveen Barode , Prof. Kailash Patidar |
| Unique Id: | IJSDR1609023 |
| Published In: | Volume 1 Issue 9, September-2016 |
| Abstract: | Cloud computing technique serves computing resources such as software, data, hardware, and networks on demand to cloud users. Day by day size of cloud resources and its consumers are increasing rapidly. Cloud computing provides computing services are available 24*7 for cloud users, pay per use basis. Cloud users store their various sensitive and private data on cloud storage servers. So there is a chance of security threads, an unauthorized user can try to access and manipulate data. In this research work, we are presenting, “MHLA-SHAR” a reliable public audit system based on batch auditing system, Improve Key aggregate crypto system, SHA-1 and random masking for data hiding, which performs data auditing on behalf of cloud users. The key point of proposed model is the TPA is stateless, means; TPA does not need to maintain and update state between audits, which is a desirable property especially in the public auditing system. In existing HLA method a new security parameter is added. For the sake of data binding, propose MHLAR scheme involves computationally efficient pairing operation which makes proposed method more efficient and secure. Proposed “MHLA-SHAR” and existing HLA both methods are implemented and various performance and privacy preserving parameters are calculated such as computational time, avalanche effect, and encryption decryption time. An experimental result clearly shows that proposed method performs outstanding over existing method. |
| Keywords: | Cloud Computing, Privacy preserving, TPA, MHLA-SHAR and KAC |
| Cite Article: | "A NEW MHLA-SHAR BASED, PRIVACY PRESERVING & AUDITING MODEL, FOR CLOUD COMPUTING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 9, page no.142 - 147, September-2016, Available :http://www.ijsdr.org/papers/IJSDR1609023.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1609023 Registration ID:160780 Published In: Volume 1 Issue 9, September-2016 DOI (Digital Object Identifier): Page No: 142 - 147 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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