High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Distinguishing Malicious Community Behaviour in Social Networks for Cyber Security


Sashaank Pejathaya Murali , SSN College Of Engineering


Community Detection, Social Networks, Mining, Tags, Clustering


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

Paper ID: IJSRDV5I30141
Published in: Volume : 5, Issue : 3
Publication Date: 01/06/2017
Page(s): 149-150

Article Preview

Download Article