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Online Social Deception Research

My research aims to understand the underlying intents and tactics of the OSD attacks and combats the OSD attacks based on the understanding.

Checking the news online

Projects

Social Capital

Description

Leveraged the concept of multidimensional social capital to model its defense capability against phishing attacks and developed a social capital-based friend recommendation system.

Publications
  • Z. Guo, J.H. Cho, I. Chen, S. Sengupta, M. Hong, and T. Mitra, “SAFER: Social Capital-Based Friend Recommendation to Defend against Phishing Attacks,” The International AAAI Conference on Web and Social Media (ICWSM 2022).

  • Z. Guo, J.H. Cho, I. Chen, S. Sengupta, M. Hong, and T. Mitra, “Online Social Deception and Its Countermeasures: A Survey,” IEEE Access, vol. 9, pp. 1770 - 1806, Dec. 2020.

PROJECTS

Opinion Game Theory

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Description

Proposed a game-theoretic opinion framework to handle disinformation with various types of opinion models. 

Publications
  • Z. Guo and J.H. Cho, “Comparative Analysis of Game Theoretic Opinion Models and Their Applications in Processing Disinformation,” The 2021 IEEE Global Communications Conference (GLOBECOM), Dec. 2021.

  • Z. Guo, J.H. Cho, and C.T. Lu, "Game Theoretic Opinion Updates to Combat Disinformation in Online Social Networks," Submitted to KDD 2022.

  • Z. Guo, J. Valinejad, and J.H. Cho, “Effect of Disinformation Propagation on Opinion Dynamics: A Game Theoretic Approach,” submitted to IEEE Transactions on Network Science and Engineering, April 2022.

Intent Analysis & Deep Reinforcement Learning

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Description

Proposed an intent classification framework to analyze and compared the intents of fake news spreaders.

Publications
  • Z. Guo, Q. Zhang, Qi Zhang, X. Zhao, A. Josang, L. M. Kaplan, A. Swami, F. Chen, D. H. Jeong, and J.H. Cho, "mudRIA: Multidimensional Uncertainty-Aware Deep Reinforcement Learning-based Intent Analysis of Fake News Spreaders," To be submitted to ICWSM 2022. May 2022.

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