A Survey on Data Leakage Detection |
Author(s): |
| Suraj S Panchakshari , Sapthagiri College of Engineering; Supreetha S, Sapthagiri College of Engineering; Sanjay U K, Sapthagiri College of Engineering; Rohit N K, Sapthagiri College of Engineering; Sharath B S, Sapthagiri College of Engineering |
Keywords: |
| Data Leakage Prevention, Weighted Graphs, Label Propagation, Context, Cluster Graph |
Abstract |
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Among organizations and individuals leakage of data is a growing insider threat. Just as the volume of documents increase efficaciously over time and the structure of data becomes complicated over time. These huge amounts of data must be checked in this big data era. The current automata-based string coordinating algorithms are illogical for identifying modified data leaks, as of its daunting complexity when designing the appropriate regular expressions. The different approaches are taken to help in appreciating the protection of the Data Leakage effectively by identifying the sensitive data through text document or word document that may contain highly sensitive data. |
Other Details |
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Paper ID: IJSRDV7I30615 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 817-818 |
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