Distinguishing Malicious Community Behaviour in Social Networks for Cyber Security |
Author(s): |
| Sashaank Pejathaya Murali , SSN College Of Engineering |
Keywords: |
| Community Detection, Social Networks, Mining, Tags, Clustering |
Abstract |
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this paper is an attempt to distinguish users' emotions or views for the fabrication of communities over social networks for efficient circumstantial consciousness. I trust that the mined patterns in user sentiments can behave as measures of likely threats in cybernetics. This paper proposes a novel data mining outlook to identify groups and trace these communities to efficiently determine users that impact the kinetics of a community over time. |
Other Details |
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Paper ID: IJSRDV5I30141 Published in: Volume : 5, Issue : 3 Publication Date: 01/06/2017 Page(s): 149-150 |
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