Prof. Huy Kang Kim's Lifelog (김휘강의 Lifelog)

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2020 데이터 챌린지 (게임보안 트랙) 관련 소고

게임봇 데이터 챌린지를 몇년째 하고 있는데요, 데이터 배포 후 Accuracy, Precision, Recall, F1 스코어만으로 상을 주는게 아니라, 굳이 본선과정에서 팀별 발표 및 Q&A 세션을 두어서 검증하는 이유에 대해서 약간 부연설...

2009년 4월 5일 일요일

오픈웹에서 오해하기 쉬운 사실 #2: 이경문 님의 홈페이지에서

오픈웹에서 오해하기 쉬운 사실 #2

http://www.gilgil.co.kr/bbs/zboard.php?id=free&page=1&sn1=&divpage=1&sn=off&ss=on&sc=on&select_arrange=headnum&desc=asc&no=2793

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Useful links

AI Spera
Hacking and Countermeasure Research Lab.
Datasets by HCR Lab.
정보보호 R&D 데이터챌린지

Recent Publications (2020)

홈
Song, H. M., Woo, J., & Kim, H. K. (2020). In-vehicle network intrusion detection using deep convolutional neural network. Vehicular Communications, 21, 100198.
Song, H. M., & Kim, H. K. (2020). Discovering CAN specification using On-Board Diagnostics. IEEE Design & Test.
Kim, K., Cho, K., Lim, J., Jung, Y. H., Sung, M. S., Kim, S. B., & Kim, H. K. (2020). What’s your protocol: Vulnerabilities and security threats related to Z-Wave protocol. Pervasive and Mobile Computing, 66, 101211.
Tariq, S., Lee, S., Kim, H. K., & Woo, S. S. (2020). CAN-ADF: The Controller Area Network Attack Detection Framework. Computers & Security, 101857.
Oh, D. B., Park, K. H., & Kim, H. K. (2020). De-Wipimization: Detection of data wiping traces for investigating NTFS file system. Computers & Security, 99, 102034.

Recent Publications (2019)

Jang, Joonun, Kim, H. K. (2019). FuzzBuilder: Automated building greybox fuzzing environment for C/C++ library. Annual Computer Security Applications Conference (ACSAC) 2019
Park, K. H., Kim, H. K. (2019). This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks. ESCAR Asia 2019
Lee, S., Kim, H. K., & Kim, K. (2019). Ransomware protection using the moving target defense perspective. Computers & Electrical Engineering, 78, 288-299.
Kim, K. H., & Kim, H. K. (2019, October). Oldie is Goodie: Effective User Retention by In-game Promotion Event Analysis. In Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts (pp. 171-180).

Recent Publications (2018)

Lee, E., Woo, J., Kim, H., & Kim, H. K. (2018). No Silk Road for Online Gamers!: Using Social Network Analysis to Unveil Black Markets in Online Games. In Proceedings of the 2018 World Wide Web Conference on World Wide Web (pp. 1825-1834). International World Wide Web Conferences Steering Committee.
Chun, S., Choi, D., Han, J., Kim, H. K., & Kwon, T. (2018, April). Unveiling a Socio-Economic System in a Virtual World: A Case Study of an MMORPG. In Proceedings of the 2018 World Wide Web Conference on World Wide Web (pp. 1929-1938). International World Wide Web Conferences Steering Committee.
Woo, J., Kang, S. W., Kim, H. K., & Park, J. (2018). Contagion of Cheating Behaviors in Online Social Networks. IEEE Access.
Lee, E., Kim, B., Kang, S., Kang, B., Jang, Y., & Kim, H. K. (2018). Profit Optimizing Churn Prediction for Long-term Loyal Customer in Online games. IEEE Transactions on Games.
Han, M. L., Kwak, B. I., & Kim, H. K. (2018). Anomaly intrusion detection method for vehicular networks based on survival analysis. Vehicular communications, 14, 52-63.
Kim, H. M., Song, H. M., Seo, J. W., & Kim, H. K. (2018, August). Andro-Simnet: Android Malware Family Classification using Social Network Analysis. In 2018 16th Annual Conference on Privacy, Security and Trust (PST) (pp. 1-8). IEEE.
Seo, E., Song, H. M., & Kim, H. K. (2018, August). GIDS: GAN based Intrusion Detection System for In-Vehicle Network. In 2018 16th Annual Conference on Privacy, Security and Trust (PST) (pp. 1-6). IEEE.

Representative Papers

Song, H. M., & Kim, H. K. (2020). Discovering CAN specification using On-Board Diagnostics. IEEE Design & Test.
Song, H. M., Woo, J., & Kim, H. K. (2020). In-vehicle network intrusion detection using deep convolutional neural network. Vehicular Communications, 21, 100198.
Kim, K., Cho, K., Lim, J., Jung, Y. H., Sung, M. S., Kim, S. B., & Kim, H. K. (2020). What’s your protocol: Vulnerabilities and security threats related to Z-Wave protocol. Pervasive and Mobile Computing, 66, 101211.
Oh, D. B., Park, K. H., & Kim, H. K. (2020). De-Wipimization: Detection of data wiping traces for investigating NTFS file system. Computers & Security, 99, 102034.
Jang, Joonun, Kim, H. K. (2019). FuzzBuilder: Automated building greybox fuzzing environment for C/C++ library. Annual Computer Security Applications Conference (ACSAC) 2019
Han, M. L., Kwak, B. I., & Kim, H. K. (2018). Anomaly intrusion detection method for vehicular networks based on survival analysis. Vehicular communications, 14, 52-63.
Lee, E., Kim, B., Kang, S., Kang, B., Jang, Y., & Kim, H. K. (2018). Profit Optimizing Churn Prediction for Long-term Loyal Customer in Online games. IEEE Transactions on Games.
Lee, E., Woo, J., Kim, H., & Kim, H. K. (2018). No Silk Road for Online Gamers!: Using Social Network Analysis to Unveil Black Markets in Online Games. In Proceedings of the 2018 World Wide Web Conference on World Wide Web (pp. 1825-1834). International World Wide Web Conferences Steering Committee.
Chun, S., Choi, D., Han, J., Kim, H. K., & Kwon, T. (2018, April). Unveiling a Socio-Economic System in a Virtual World: A Case Study of an MMORPG. In Proceedings of the 2018 World Wide Web Conference on World Wide Web (pp. 1929-1938). International World Wide Web Conferences Steering Committee.
Kang, Ah Reum, et al. "I Would Not Plant Apple Trees If the World Will Be Wiped: Analyzing Hundreds of Millions of Behavioral Records of Players During an MMORPG Beta Test." Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee, 2017.
Hyungseok Kim et al. "Firewall Ruleset Visualization Analysis Tool based on Segmentation.", IEEE VizSec (2017)
Kwon, Hyukmin, et al. "Crime Scene Reconstruction: Online Gold Farming Network Analysis." IEEE Transactions on Information Forensics and Security (2016).
E. Lee, J. Woo, H. Kim, A. Mohaisen, and H. K. Kim, “You Are a Game Bot!: Uncovering Game Bots in MMORPGs via Self-similarity in the Wild,” NDSS 2016.
Jang, J. W., Kang, H., Woo, J., Mohaisen, A., & Kim, H. K. (2016). Andro-dumpsys: anti-malware system based on the similarity of malware creator and malware centric information. Computers & Security.
Kang, A. R., Park, J., Lee, J., & Kim, H. K. (2015, May). Rise and Fall of Online Game Groups: Common Findings on Two Different Games. In Proceedings of the 24th International Conference on World Wide Web Companion (pp. 1079-1084). International World Wide Web Conferences Steering Committee.
Jang, J. W., Kang, H., Woo, J., Mohaisen, A., & Kim, H. K. (2015). Andro-autopsy: Anti-malware system based on similarity matching of malware and malware creator-centric information. Digital Investigation, 14, 17-35.
Chung, T., Han, J., Choi, D., Kwon, T. T., Kim, H. K., & Choi, Y. (2014, April). Unveiling group characteristics in online social games: a socio-economic analysis. In Proceedings of the 23rd international conference on World wide web (pp. 889-900). ACM.
Kim, H. K., Im, K. H., & Park, S. C. (2010). DSS for computer security incident response applying CBR and collaborative response. Expert Systems with Applications, 37(1), 852-870.
Kang, A. R., Woo, J., Park, J., & Kim, H. K. (2013). Online game bot detection based on party-play log analysis. Computers & Mathematics with Applications, 65(9), 1384-1395.

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