Secrecy Preserving Discovery of Subtle Statistic  Contents

A.Francis Thivya; P.Tharcis

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25-Jan-25

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Secrecy Preserving Discovery of Subtle Statistic Contents

Author(s):

A.Francis Thivya , Christian College of Engineering and Technology Oddanchatram, Tamilnadu-624619, India; P.Tharcis, Christian College of Engineering and Technology Oddanchatram, Tamilnadu-624619, India

Keywords:

Data Leak Detection Provider, Fuzzy Fingerprint, Host-Based Data Leak Detection, Semi-Honest Adversary

Abstract:

A Data Distributor or Software Company has given sensitive data to a set of confidential data owners. Sometimes data are leaked and found in the unauthorized place. Data leakage happens every day when the sensitive information is transferred to the third party agents. To manage and protect the confidential information, data leak detection is an important part. The exposure of sensitive information in storage and transmission places a serious threat to organizational and individual security. Data leak detection aims at scanning content of exposed sensitive information. Because of the large capacity and data volume, such a cryptographic algorithm needs to be scalable for a timely detection. In this project, the system proposes host based data leak detection (DLD). Data owner calculates a peculiar set of digests or fingerprints from the sensitive information, and then reveals only a small amount of digest data to the DLD provider. The system implements, and evaluates a new privacy-preserving data-leak detection system that changes the data owner to safely deploy locally, or to allocate the traffic-inspection task to DLD providers without revealing the sensitive data. It works well especially when consecutive data blocks are leaked. This host-based DLD technique may improve the accuracy, privacy, concision and efficiency of fuzzy fingerprint data leak detection.