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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 112
Article Submitted : 17566
Article Published : 7616
Total Authors : 20196
Total Reviewer : 740
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| Paper Title: | Security in Cloud Computing Based on the Combination of Encryption and Association Rule Mining |
| Authors Name: | Raghi K.R , Dr. Arjun Paramarthalingam |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_181845
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| Published Paper Id: | IJRTI2205029 |
| Published In: | Volume 7 Issue 5, May-2022 |
| DOI: | |
| Abstract: | To preserve the privacy of data uploaded on the cloud, it is widely accepted to encrypt the data before uploading it. This leads to the challenge of data analysis, especially association rule mining while protecting data privacy. As one of the solutions, pailler encryption is presented allowing encrypted data processing without decryption. In particular, the twin-cloud structure is frequently applied in the privacy-preserving association rule mining schemes based on asymmetric homomorphic encryption, which contradicts the reality that most of the practical applications applied in the cloud environment. However, the existing related single cloud server schemes suffer from privacy leakage problems. To fill this gap in the literature, in this paper, we first present a universal secure multiplication protocol with the single cloud server using the garbled circuit and additive homomorphic encryption. Based on this multiplication protocol, we construct the inner product protocol, comparison protocol, frequent itemset protocol, and the final association rule mining protocol that is secure against privacy leakage. |
| Keywords: | Privacy preserving association rule mining; cloud security; encryption |
| Cite Article: | "Security in Cloud Computing Based on the Combination of Encryption and Association Rule Mining", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 5, page no.176 - 180, May-2022, Available :http://www.ijrti.org/papers/IJRTI2205029.pdf |
| Downloads: | 000205079 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2205029
Registration ID:181845
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 176 - 180 Country: Chennai, Tamilnadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2205029 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2205029 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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