ICCCES-16

HEALTHCARE DATA LEAKAGE DETECTION USING FUZZY FINGERPRINTS SIGNATURE TECHNIQUE IN CENTRALIZED PEER-TO-PEER NETWORK. (140580)

DOI :

Abstract : Data is shared between different peers in Peer-to-Peer (P2P) network. Data leak instances has grown rapidly from different organizations,institu tes. Sometimes there is need for handling the sensitive data to the third parties. So,there may be chances of d ata- leaks and it should be prevented. For preventing fr om data leaks or for detecting the data leakage the Data leakage Detection (DLD) systems can be used. But,t he DLD may also try to gain the knowledge of sensitive data which is to be shared by the owner. So,there is need to provide security for sensitive data. The Proposed method proposes a Host-Specific system for health care data. To provide security,integrity and privacy to the sensitive data fuzzy fingerprints,watermarking and privacy customization techniques are used respectively. The secured privacy-preserved data is send to the DLD to prevent from data-leak. The proposed method provides higher security and integrity to the sensitive data for Health care Organizations in P2P network

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Downloads : 1477

Publication Date :

Modified Date : 2016-01-30

Cite/Export :

Sneha .S. Satpute , A.A. Manjrekar. , "HEALTHCARE DATA LEAKAGE DETECTION USING FUZZY FINGERPRINTS SIGNATURE TECHNIQUE IN CENTRALIZED PEER-TO-PEER NETWORK.", IJIERT - International Journal of Innovations in Engineering Research and Technology, ICCCES-16, ISSN : 2394-3696, Page No.