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Paper Details
Paper Title
Security preserving & Accuracy Constrained Access Control Mechanism Over Relational Data
Authors
  Balivada Venu gopal,  Kola.Rama.Koteswararao,  A.Atchyuta Rao
Abstract
Access control mechanisms protect sensitive information from unauthorized users. However, when sensitive information is shared without presence of Privacy Protection Mechanism (PPM), an authorized user can still compromise the privacy of a person leading to identity disclosure. A PPM can use suppression and generalization of relational data to anonymize 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.
Keywords- Access control, privacy, k-anonymity, query evaluation
Publication Details
Unique Identification Number - IJEDR1504012Page Number(s) - 1-7Pubished in - Volume 3 | Issue 4 | October 2015DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Balivada Venu gopal,  Kola.Rama.Koteswararao,  A.Atchyuta Rao,   "Security preserving & Accuracy Constrained Access Control Mechanism Over Relational Data", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.1-7, October 2015, Available at :http://www.ijedr.org/papers/IJEDR1504012.pdf
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