Sybil attack and limiting the spread of misinformation

The wide spread of misinformation in online social networks has become a main threat to our society. Generally, people tend to believe what their friends are saying. Leveraging the social relationships to contain or block the misinformation appears to be a promising strategy.

Objectives:

  • Detect misinformation in online social networks in the early stage of spread
  • Design effective measure to evaluate the nodes contribution of diffuse the true information in the presence of misinformation
  • Identify the most important nodes in the spread of true information so as to block the misinformation

Publications:

  • Huiling Zhang, Alan Kuhnle, Huiyuan Zhang, and My T. Thai. “Detecting Misinformation in Online Social Networks Before It Is Too Late,” in The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), 2016
  • N. P. Nguyen, G. Yan, and M. T. Thai. “Analysis of Misinformation Containment in Online Social Networks,” in Elsevier Computer Networks-Towards a Science of Cyber Security (COMNETS), vol. 57, no. 10, pp. 2133--2146, 2013