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Title |
Data Leakage Detection Using Encrypted Fake Objects |
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Author |
Anusha.Koneru, G. Siva Nageswara Rao, J.Venkata Rao |
| Citation |
Vol. 14 No. 3 pp. 115-120 |
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Abstract |
Data leakage is a budding security threat to organizations, particularly when data leakage is carried out by trusted agents. In this paper, we present unobtrusive techniques for detecting data leakage and assessing the “guilt” of agents. Water marking is the long-established technique used for data leakage detection which involves some modification to the original data. To overcome the disadvantages of using watermark, data allocation strategies are used to improve the feasibility of detecting guilty agent. Distributor ”intelligently” allocates data based on sample request and explicit request using allocation strategies in order to better the effectiveness in detecting guilty agent. Fake objects are designed to look like real objects, and are distributed to agents together with requested data. Fake objects encrypted with a private key are designed to look like real objects, and are distributed to agents together with requested data. By this way we can identify, the guilty agent who leaked the data by decrypting his fake object |
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Keywords |
Allocation strategies, data leakage, encryption, decryption, fake objects, guilty agent, optimization |
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