Survey on Data Leak Detection of Sensitive Data Exposure for Preserving Privacy

Now-a-days large amount of data leaks occur in various research institutions, organization and security firms. The data leakage occurs due to the improper protection to the data. Deliberately planned attacks, inadvertent leaks (e.g. forwarding confidential emails to unclassified email accounts), and human mistakes (e.g. assigning the wrong privilege) lead to most of the data-leak incidents .The common way is used to monitor the data that are stored in a organizational local network. However, this requirement is undesirable, as it may threaten the confidentiality of the sensitive information .For existing method we require plaintext sensitive data. A privacy preserving data-leak detection solution is proposed which can be outsourced and be deployed in a semi-honest detection environment. In this paper, fuzzy fingerprint technique is designed and implemented to enhance data privacy during data leak detection operation. The DLD provider computes fingerprints from network traffic and identifies potential leaks in them. The estimation result shows that this method can provide accurate detection