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Title: :  Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data
PaperId: :  2340
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2340
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Karan DaveKalol Institute of Technology and Research Center

Abstract

Computer Engineering
Data mining, Data Integrity, Data privacy, Anonymization, K anonymity, L diversity.
Data mining is the process of analyzing data from different perspectives. To summarize it into useful information, we can consider several algorithms. To protect data from unauthorized user in this case is a problem to solve. Access control mechanisms protect sensitive information from unauthorized users. But if the privacy protected information is not in proper format, again the user will compromise the privacy and quality of data. A privacy protection mechanism can use suppression and generalization of relational data to anonymized and satisfy privacy requirements, e.g., k-anonymity and l-diversity, against identity and attribute disclosure. However, privacy is achieved at the cost of precision of authorized information. In this paper, we propose an accuracy-constrained privacy-preserving access control framework. The access control policies define selection predicates available to roles while the privacy requirement is to satisfy the k-anonymity or l-diversity. An additional constraint that needs to be satisfied by the PPM is the imprecision bound for each selection predicate. The techniques for workload-aware anonymization for selection predicates have been discussed in the literature. However, to the best of our knowledge, the problem of satisfying the accuracy constraints for multiple roles has not been studied before. In our formulation of the aforementioned problem, we propose heuristics for anonymization algorithms and show empirically that the proposed approach satisfies imprecision bounds for more permissions and has lower total imprecision than the current state of the art.

Citations

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IJARIIE Karan Dave. "Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 1971-1978
MLA Karan Dave. "Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 1971-1978.
APA Karan Dave. (2016). Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 1971-1978.
Chicago Karan Dave. "Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 1971-1978.
Oxford Karan Dave. 'Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 1971-1978. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Privacy_Preserving_in_Data_Mining_using_Anonymity_Algorithm_for_Relational_Data_ijariie2340.pdf (Accessed : ).
Harvard Karan Dave. (2016) 'Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 1971-1978IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Privacy_Preserving_in_Data_Mining_using_Anonymity_Algorithm_for_Relational_Data_ijariie2340.pdf (Accessed : )
IEEE Karan Dave, "Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 1971-1978, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Privacy_Preserving_in_Data_Mining_using_Anonymity_Algorithm_for_Relational_Data_ijariie2340.pdf [Accessed : ].
Turabian Karan Dave. "Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver Karan Dave. Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 1971-1978. Available from: https://ijariie.com/AdminUploadPdf/Privacy_Preserving_in_Data_Mining_using_Anonymity_Algorithm_for_Relational_Data_ijariie2340.pdf
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