Data Flow for Effective Data Leakage Prevention using Elliptic Curve Digital Signature Algorithm
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 7, Issue 3
Abstract
Sensitive data is leaked in software firm, government sectors and also from the web. To prevent this leakage, data allocation strategies are used. Data allocation Strategy improves the probability of identifying leakages. The current model in leakage detection is handled by watermarking. Watermarks can be useful in some of the cases, but it again, modifies of the original data. If the recipient is malicious watermarks can be destroyed. After giving a set of data to agents, the distributor saw some of the same data in an unauthorized place. At this point the distributor came to know that the data is leaked and came from one or more agents. If the distributor got the enough evidence that an agent leaked data, he may initiate legal proceedings. The data allocation techniques are used to identify the leaking agent. The “guilt model” is used to find the probability of leaking agent. The ECDSA algorithm is used to prevent the data from untrusted party. The Algorithm used is Sample data request and explicit data request. By implementing guilt model and ECDSA techniques the distributor can identify the leaking agents and to whom the data leaks.
Authors and Affiliations
Tony Thomas , V. Balajishanmuga
Keywords
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