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

Authors

  • Sneha .S. Satpute Department of Computer Science Department of Technology, Shivaji University Kolhapur, India
  • A.A. Manjrekar. Department of Computer Science Department of Technology, Shivaji University Kolhapur, India

Keywords:

Data leaks, security,, Message Digest 5,

Abstract

Data is shared between different peers in Peer-to-Peer (P2P) network. Data leak instances hasgrown rapidly from different organizations, institutes. Sometimes there is need for handling the sensitive data to the third parties. So, there may be chances of data-leaks and it should be prevented. For preventing from data leaks or for detecting the data leakage the Data leakage Detection (DLD) systems can be used. But, the 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 healthcare data. To provide security, integrity and privacy to the sensitive data fuzzy fingerprints, watermarking andprivacy 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 Healthcare Organizations in P2P network.

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Published

2021-03-27

Issue

2016: ICCCES

Section

Articles

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