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PRESENTED BY
ABSTRACT 
ď‚—In this paper, we propose an accuracy-constrained 
privacy-preserving access control framework. 
ď‚— The access control policies define selection predicates 
available to roles while the privacy requirement is to 
satisfy the k-anonymity or l-diversity.
ABSTRACT 
ď‚—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.
EXISTING SYSTEM 
ď‚—The concept of privacy-preservation for sensitive data can 
require the enforcement of privacy policies or the 
protection against identity disclosure by satisfying some 
privacy requirements. 
ď‚—Investigate privacy-preservation from the anonymity 
aspect. 
ď‚—The sensitive information, even after the removal of 
identifying attributes, is still susceptible to linking attacks 
by the authorized users.
DISADVANTAGES OF EXISTING 
SYSTEM 
ď‚—Minimize the imprecision aggregate for all queries . 
ď‚—The imprecision added to each permission/query in the 
anonymized micro data is not known. 
ď‚—Not satisfying accuracy constraints for individual 
permissions in a policy/workload.
PROPOSED SYSTEM 
ď‚—The heuristics proposed in this paper for accuracy 
constrained privacy-preserving access control are also 
relevant in the context of workload-aware anonymization. 
ď‚—The framework is a combination of access control and 
privacy protection mechanisms. 
ď‚—The access control mechanism allows only authorized 
query predicates on sensitive data. 
ď‚—The privacy preserving module anonymizes the data to 
meet privacy requirements and imprecision constraints 
on predicates set by the access control mechanism.
ADVANTAGES OF PROPOSED SYSTEM 
ď‚—Formulate the accuracy and privacy constraints. 
ď‚—Concept of accuracy-constrained privacy-preserving 
access control for relational data. 
ď‚—approximate the solution of the k-PIB problem and 
conduct empirical evaluation.
SYSTEM ARCHITECTURE
HARDWARE REQUIREMENTS 
ď‚—System : Pentium IV 2.4 GHz. 
ď‚—Hard Disk : 40 GB. 
ď‚—Floppy Drive : 1.44 Mb. 
ď‚—Monitor : 15 VGA Colour. 
ď‚—Mouse : Logitech. 
ď‚—Ram : 512 Mb.
SOFTWARE REQUIREMENTS 
ď‚—Operating system : Windows XP/7. 
ď‚—Coding Language : JAVA/J2EE 
ď‚—IDE : Netbeans 7.4 
ď‚—Database : MYSQL
REFERENCES 
ď‚—Zahid Pervaiz, Walid G. Aref, Senior Member, Arif 
Ghafoor, Fellow, and Nagabhushana Prabhu,“Accuracy- 
Constrained Privacy-Preserving Access Control 
Mechanism for Relational Data”, IEEE 
TRANSACTIONS, VOL. 26, NO. 4, APRIL 2014.
TO GET THIS PROJECT CONTACT

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Accuracy-Constrained Privacy-Preserving Access Control Mechanism for Relational Data

  • 3. ABSTRACT ď‚—In this paper, we propose an accuracy-constrained privacy-preserving access control framework. ď‚— The access control policies define selection predicates available to roles while the privacy requirement is to satisfy the k-anonymity or l-diversity.
  • 4. ABSTRACT ď‚—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.
  • 5. EXISTING SYSTEM ď‚—The concept of privacy-preservation for sensitive data can require the enforcement of privacy policies or the protection against identity disclosure by satisfying some privacy requirements. ď‚—Investigate privacy-preservation from the anonymity aspect. ď‚—The sensitive information, even after the removal of identifying attributes, is still susceptible to linking attacks by the authorized users.
  • 6. DISADVANTAGES OF EXISTING SYSTEM ď‚—Minimize the imprecision aggregate for all queries . ď‚—The imprecision added to each permission/query in the anonymized micro data is not known. ď‚—Not satisfying accuracy constraints for individual permissions in a policy/workload.
  • 7. PROPOSED SYSTEM ď‚—The heuristics proposed in this paper for accuracy constrained privacy-preserving access control are also relevant in the context of workload-aware anonymization. ď‚—The framework is a combination of access control and privacy protection mechanisms. ď‚—The access control mechanism allows only authorized query predicates on sensitive data. ď‚—The privacy preserving module anonymizes the data to meet privacy requirements and imprecision constraints on predicates set by the access control mechanism.
  • 8. ADVANTAGES OF PROPOSED SYSTEM ď‚—Formulate the accuracy and privacy constraints. ď‚—Concept of accuracy-constrained privacy-preserving access control for relational data. ď‚—approximate the solution of the k-PIB problem and conduct empirical evaluation.
  • 10. HARDWARE REQUIREMENTS ď‚—System : Pentium IV 2.4 GHz. ď‚—Hard Disk : 40 GB. ď‚—Floppy Drive : 1.44 Mb. ď‚—Monitor : 15 VGA Colour. ď‚—Mouse : Logitech. ď‚—Ram : 512 Mb.
  • 11. SOFTWARE REQUIREMENTS ď‚—Operating system : Windows XP/7. ď‚—Coding Language : JAVA/J2EE ď‚—IDE : Netbeans 7.4 ď‚—Database : MYSQL
  • 12. REFERENCES ď‚—Zahid Pervaiz, Walid G. Aref, Senior Member, Arif Ghafoor, Fellow, and Nagabhushana Prabhu,“Accuracy- Constrained Privacy-Preserving Access Control Mechanism for Relational Data”, IEEE TRANSACTIONS, VOL. 26, NO. 4, APRIL 2014.
  • 13. TO GET THIS PROJECT CONTACT