Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/327861
Title: A Framework for Data Integrity Checking In Cloud Computing
Researcher: Garg, Neenu
Guide(s): Bawa, Seema
Keywords: Cloud computing
Data integrity audit
Third party audit
University: Thapar Institute of Engineering and Technology
Completed Date: 2017
Abstract: Cloud computing has emerged as a utility computing paradigm that offers great potential for storing data remotely. It efficiently reduces data maintenance pressures of an organization. However, preserving data integrity and resolving security concerns of outsourced data still remains to be a challenge for data owners, due to loss of control over data. Thus, integrity checking of outsourced data in cloud computing environments becomes crucial for identifying loss of data or any corruption incident in timely manner. Data integrity checking significantly reduces the impact of risks caused due to such losses. In recent years, because of the growing trends of outsourcing data, significant progress has been made by researchers for designing efficient data integrity checking schemes. Most of the existing solutions have not been able to achieve the desired requirements of integrity checking schemes like public auditing of dynamic data, unlimited times of integrity checking and providing data freshness guarantees etc. Moreover, less attention had been given to minimize computation overhead incurred in integrity verification. Hence, new data integrity checking schemes for cloud computing are needed that fulfill the desired requirements and are computationally efficient Addressing the issue of integrity checking of outsourced data through literature survey, a comparative analysis of existing data integrity checking schemes is presented in the thesis. Detailed review of cryptographic and mathematical methods used to devise data integrity checking schemes has been carried out. A specific analysis based on security methods, storage overhead, computation cost and communication cost is presented in tabular form. Further, a comprehensive view of desirable properties of these schemes is presented. The challenges in the composition of an efficient data integrity checking scheme for cloud computing environment have been highlighted.
Pagination: 121p.
URI: http://hdl.handle.net/10603/327861
Appears in Departments:Department of Computer Science and Engineering

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01_title.pdfAttached File34.26 kBAdobe PDFView/Open
02_certificate.pdf34.1 kBAdobe PDFView/Open
03_acknowledgements.pdf58.28 kBAdobe PDFView/Open
04_dedication.pdf47.77 kBAdobe PDFView/Open
05_abstract.pdf60.97 kBAdobe PDFView/Open
06_contents.pdf50.82 kBAdobe PDFView/Open
07_list of figures.pdf77.64 kBAdobe PDFView/Open
08_list of tables.pdf46.33 kBAdobe PDFView/Open
09_list of algorithms.pdf46.07 kBAdobe PDFView/Open
10_chapter 1.pdf103.64 kBAdobe PDFView/Open
11_chapter 2.pdf235.85 kBAdobe PDFView/Open
12_chapter 3.pdf200 kBAdobe PDFView/Open
13_chapter 4.pdf245.09 kBAdobe PDFView/Open
14_chapter 5.pdf144.26 kBAdobe PDFView/Open
15_chapter 6.pdf67.61 kBAdobe PDFView/Open
16_references.pdf110.38 kBAdobe PDFView/Open
17_list of publications.pdf46.44 kBAdobe PDFView/Open
80_recommendation.pdf100.98 kBAdobe PDFView/Open
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