Classifying sybil in MSNs using C4.5

Anand Chinchore, Guandong Xu, Frank Jiang
2016 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)  
Sybil detection is an important task in cyber security research. Over past years, many data mining algorithms have been adopted to fulfill such task. Using classification and regression for sybil detection is a very challenging task. Despite of existing research made toward modeling classification for sybil detection and prediction, this research has proposed new solution on how sybil activity could be tracked to address this challenging issue. Prediction of sybil behaviour has been
more » ... by analysing the graph-based classification and regression techniques, using decision trees and described dependencies across different methods. Calculated gain and maxGain helped to trace some sybil users in the datasets.
doi:10.1109/besc.2016.7804499 dblp:conf/besc/ChinchoreXJ16 fatcat:3kmramj2dzh3pacwzpaibgzgxa