Data Leakage Detection using Semantic Analysis |
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, Clusters, Data Pre-Processing |
Abstract |
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Among the various organizations in the world data leakage is a growing insider threat. As the volume of the documents can increase efficaciously with time the structuring of data becomes complicated. These enormous amounts of Data must be thoroughly checked in this era of Big Data. The existing automata-based string co-ordinated algorithms are illogical for identifying transformed data. The mixed approach will aid to the protection of the DLP system aptly by identifying the delicate through semantic analysis and clustering. Experimental results show that the proposed method can detect data leaks of transformed and fresh data fast and efficiently. |
Other Details |
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Paper ID: IJSRDV7I30617 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 795-798 |
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