Boosting: rank and skill deception in esports
Eoin Conroy, Magdalena Kowal, Adam J. Toth, Mark J. Campbell
Entertainment Computing, Vol. 36, 2021
Target: Boosting (high-skilled players increasing lower-skilled players' ranks for monetary gain), rank decay, queue boosting
Aim: Conroy, E., Kowal, M., Toth, A. J., & Campbell, M. J. (2021). Boosting: rank and skill deception in esports. Entertainment Computing, 36, 100393.
Recommendation: (Conroy et al., 2021)
Justice League: Time-series Game Player Pattern Detection to Discover Rank-Skill Mismatch
Haerin Kim and Sangho Lee and Ji Young Woo and Huy Kang Kim
2022 IEEE International Conference on Agents (ICA)
Target: Boosting, smurfing, trolling - rank-skill mismatch problems where account information doesn't reflect actual player skills
Aim: Kim, H., Lee, S., Woo, J. Y., & Kim, H. K. (2022). Justice League: Time-series game player pattern detection to discover rank-skill mismatch. In 2022 IEEE International Conference on Agents (ICA) (pp. 42-47). IEEE.
Recommendation: (Kim et al., 2022)