Publications

Publications (Selected Papers and Thesis Reports)

AI based IDS (since 2002)

• [DSN-S 2024]
  Subrat Kumar Swain, Vireshwar Kumar, Guangdong Bai, Dan Dongseong Kim: PANDA: Practical Adversarial Attack Against Network Intrusion Detection. DSN-S 2024: 28-32

• [IEEEBD 2022]
  Hyejin Kim, Dan Dongseong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim: Continual Learning with Network Intrusion Dataset. IEEE Big Data 2022: 6702-6704

• [IEEEBG 2022]
  Hyejin Kim, Dan Dongseong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim: Continual Learning with Network Intrusion Dataset. IEEE Big Data 2022: 6702-6704

• [LM attacks 2022]
  Ke He, Dan Dongseong Kim, Jing Sun, Jeong Do Yoo, Young Hun Lee, Huy Kang Kim: Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS. CoRR abs/2204.06113 (2022)

• [IEEE Globecom 2022]
  Xinyi Wang, Simon Yusuf Enoch, Dan Dongseong Kim: Semantic Preserving Adversarial Attack Generation with Autoencoder and Genetic Algorithm. GLOBECOM 2022: 80-85

• [WISA 2021]
  Raymond Mogg, Simon Yusuf Enoch, Dong Seong Kim: A Framework for Generating Evasion Attacks for Machine Learning Based Network Intrusion Detection Systems. WISA 2021: 51-63

• [IEEEA 2021b]
  Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim: DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework. IEEE Access 9: 70700-70714 (2021)

• [IEEEA 2021a]
  Hyunjun Kim, Sunwoo Ahn, Whoi Ree Ha, Hyunjae Kang, Dong Seong Kim, Huy Kang Kim, Yunheung Paek: Panop: Mimicry-Resistant ANN-Based Distributed NIDS for IoT Networks. IEEE Access 9: 111853-111864 (2021)

• [IEEEA 2020]
  Jaehyoung Park, Dong Seong Kim, Hyuk Lim: Privacy-Preserving Reinforcement Learning Using Homomorphic Encryption in Cloud Computing Infrastructures. IEEE Access 8: 203564-203579 (2020)

• [ICSSA 2018]
  Taehoon Eom, Heesu Kim, SeongMo An, Jong Sou Park, Dong Seong Kim: Android Malware Detection using Feature Selections and Random Forest. International Conference on Software Security and Assurance (ICSSA 2018), July 26-27, Seoul, South Korea

• [ICA3PPW 2015]
  Hong, Jin B., et al.: Scalable network intrusion detection and countermeasure selection in virtual network systems. International Conference on Algorithms and Architectures for Parallel Processing, Springer, Cham, 2015

• [JISIS 2012]
  Sang Min Lee, Dong Seong Kim, Jong Sou Park: A Survey and Taxonomy of Lightweight Intrusion Detection Systems. J. Internet Serv. Inf. Secur. 2(1/2): 119-131 (2012)

• [IMIS 2011]
  Je Hak Lee, Dong Seong Kim, Sang Min Lee, Jong Sou Park: DDoS Attacks Detection Using GA Based Optimized Traffic Matrix. IMIS 2011: 216-220

• [CISIS 2010]
  Sang Min Lee, Dong Seong Kim, Ji Ho Kim, Jong Sou Park: Spam Detection Using Feature Selection and Parameters Optimization. CISIS 2010: 883-888

• [PRDC 2009]
  Sang Min Lee, Dong Seong Kim, YoungHyun Yoon, Jong Sou Park: Quantitative Intrusion Intensity Assessment Using Important Feature Selection and Proximity Metrics. PRDC 2009: 127-134

• [ISA 2009]
  Tae Hwan Kim, Dong Seong Kim, Sang Min Lee, Jong Sou Park: Detecting DDoS Attacks Using Dispersible Traffic Matrix and Weighted Moving Average. ISA 2009: 290-300

• [ARES 2008]
  Dong Seong Kim, Muhammad Anwarul Azim, Jong Sou Park: Privacy Preserving Support Vector Machines in Wireless Sensor Networks. ARES 2008: 1260-1265

• [CIS 2007]
  Lee, Sang Min, Kim, Dong Seong, Park, Jong Sou: A hybrid approach for real-time network intrusion detection systems. International Conference on Computational Intelligence and Security, CIS 2007, Harbin, China, Dec 15-19. IEEE. https://doi.org/10.1109/CIS.2007.28

• [MICAI 2006]
  Dong Seong Kim, Sang Min Lee, Jong Sou Park: Toward Lightweight Detection and Visualization for Denial of Service Attacks. MICAI 2006: 632-640

• [CISC 2005]
  Jong Sou Park, Khaja Mohammad Shazzad, Dong Seong Kim: Toward Modeling Lightweight Intrusion Detection System Through Correlation-Based Hybrid Feature Selection. CISC 2005: 279-289

• [AINA 2005]
  Dong Seong Kim, Ha-Nam Nguyen, Jong Sou Park: Genetic Algorithm to Improve SVM Based Network Intrusion Detection System. AINA 2005: 155-158

• [W2GIS 2004]
  Jong Sou Park, Hong Tae Jin, Dong Seong Kim: Intrusion Detection System for Securing Geographical Information System Web Servers. W2GIS 2004: 110-119

• [ICOIN 2003]
  Dong Seong Kim, Jong Sou Park: Network-Based Intrusion Detection with Support Vector Machines. ICOIN 2003: 747-756

• [WISC02]
  J. Lee, D. S. Kim, J. S. Park, D. B. Yeom: Detecting Host-based Intrusion with SVM classification. KISC 2002 (in Korean)