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http://hdl.handle.net/10603/537429
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DC Field | Value | Language |
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dc.coverage.spatial | "The main objective of the proposed research work is to design and implement a novel approach for assured data deletion in cloud storage. With the increased usage of cloud resources, data owners and cloud service providers are concerned about disclosing sensitive data and losing reputation and trust. The objectives of the proposed research work are to provide data confidentiality, data integrity, and data verifiability. Data Confidentiality: To protect the cloud users data over the cloud storage server by providing secure storage and process transparency. The proposed framework will provide secure methodology in order to provide assurance about not to reveal the data to unauthorized users to achieve the data confidentiality. Data Integrity: To attain the data deletion integrity for the detailed data that the data owner needs to be deleted using the proposed secure deletion method with the fulfillment of deletion granularity property. Data Verifiability: To generate the proof of verification after data deletion to check whether the data has been successfully deleted as per the data owner s request." | |
dc.date.accessioned | 2024-01-04T12:03:08Z | - |
dc.date.available | 2024-01-04T12:03:08Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/537429 | - |
dc.description.abstract | Cloud storage usage increases widely with rapid development in technology. It reduces the data owner s burden of data storing, updating, deleting as well as maintaining activities. However, data deletion on the cloud platform becoming a security challenge due to the non-existence of an assured mechanism that acknowledges data owners about data deletion. The remanence of the data on the cloud may result in a potential threat and can be explored by unauthorized users to gain access to the data. Assured data deletion and verification is the basic requirement for data owners once the data stored in the cloud is no longer required. This research work aims to propose a trustworthy secure data storage mechanism by adopting the replication factor to increase the secure storage and availability of data in the cloud and secure data deletion method by overwriting it with a non-retrievable bit sequence. To make it more robust, the blockchain-based smart contract is developed to guarantee data insertion, data deletion and verification with a secure storage mechanism. The experiments were carried out using an AWS small ec2 server cloud environment with various sizes of data to validate the claim of the proposed methodology without requiring any trusted third party. The algorithm is also validated by proving the security properties, efficiency, practicality, robustness of the proposed approach. newline newline | |
dc.format.extent | 10.1 MB | |
dc.language | English | |
dc.relation | "1. F. Hao, D. Clarke, and A. Zorzo, Deleting secret data with public verifiability, IEEE Transactions on Dependable and Secure Computing, vol. 13, no. 6, p. 617 629, 2016. 2. X. Yang and Y. Xiang, Blockchain-based publicly verifiable deletion scheme for cloud storage, Journal of Network and Computer Applications, vol. 103, p. 185 193, 2018. 3. C. Cachin, Policy-based secure deletion , in Proceedings of the 2013 ACM SIGSAC conference on Computer communications security, Berlin, Germany, 2013, p. 259 270. 4. Y. Yu, L. Xue, Y. Li, X. Du, M. Guizani, and B. Yang, Assured data deletion with fine-grained access control for fog-based industrial applications, IEEE Transactions on Industrial Informatics, 2018. 5. Y. Luo and D. Wang, Enabling assured deletion in the cloud storage by overwriting, in SCC 16 Proceedings of the 4th ACM International Workshop on Security in Cloud Computing, Ney York, USA, 2016, p. 17 23." | |
dc.rights | university | |
dc.title | Design and Implementation of a Novel Approach for Assured Data Deletion in Cloud Storage | |
dc.title.alternative | Nil | |
dc.creator.researcher | JOSHI, SEEMA BALKRISHNA | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Industrial | |
dc.description.note | No | |
dc.contributor.guide | PANCHAL, S. D. | |
dc.publisher.place | Ahmedabad | |
dc.publisher.university | Gujarat Technological University | |
dc.publisher.institution | Computer/IT Engineering | |
dc.date.registered | 2017 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | A4 | |
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Computer/IT Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 40.29 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 507.62 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 10.54 kB | Adobe PDF | View/Open | |
06_contents.pdf | 130.81 kB | Adobe PDF | View/Open | |
10_chapter 1.pdf | 517.55 kB | Adobe PDF | View/Open | |
11_chapter 2.pdf | 605.37 kB | Adobe PDF | View/Open | |
12_chapter 3.pdf | 374.24 kB | Adobe PDF | View/Open | |
13_chapter 4.pdf | 560.47 kB | Adobe PDF | View/Open | |
14_chapter 5.pdf | 2.02 MB | Adobe PDF | View/Open | |
15_chapter 6.pdf | 482.87 kB | Adobe PDF | View/Open | |
17_bibliography.pdf | 130.94 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 55.5 kB | Adobe PDF | View/Open |
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