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2023

Conference Publication

EVADE: Efficient moVing tArget DEfense for autonomous network topology shuffling using deep reinforcement learning

Zhang, Qisheng, Cho, Jin-Hee, Moore, Terrence J., Kim, Dan Dongseong, Lim, Hyuk and Nelson, Frederica (2023). EVADE: Efficient moVing tArget DEfense for autonomous network topology shuffling using deep reinforcement learning. 21st International Conference, ACNS 2023, Kyoto, Japan, 19-22 June 2023. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-33488-7_21

EVADE: Efficient moVing tArget DEfense for autonomous network topology shuffling using deep reinforcement learning

2023

Journal Article

PP–GSM: Privacy-preserving graphical security model for security assessment as a service

Lee, Dongwon, Oh, Yongwoo, Hong, Jin B., Kim, Hyoungshick and Kim, Dan Dongseong (2023). PP–GSM: Privacy-preserving graphical security model for security assessment as a service. Future Generation Computer Systems, 142, 351-363. doi: 10.1016/j.future.2022.12.041

PP–GSM: Privacy-preserving graphical security model for security assessment as a service

2023

Conference Publication

Continual Learning with Network Intrusion Dataset

Kim, Hyejin, Kim, Dan Dongseong, Cho, Jin-Hee, Moore, Terrence J., Nelson, Frederica F. and Lim, Hyuk (2023). Continual Learning with Network Intrusion Dataset. 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 17-20 December 2022. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BigData55660.2022.10020865

Continual Learning with Network Intrusion Dataset

2023

Conference Publication

Message from the Workshop Chairs of DSN 2023

Duarte, Elias P. and Kim, Dan Dongseong (2023). Message from the Workshop Chairs of DSN 2023. 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), Porto, Portugal, 27-30 June 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DSN-W58399.2023.00006

Message from the Workshop Chairs of DSN 2023

2023

Journal Article

Time-based moving target defense using Bayesian attack graph analysis

Kim, Hyejin, Hwang, Euiseok, Kim, Dongseong, Cho, Jin-Hee, Moore, Terrence J., Nelson, Frederica F. and Lim, Hyuk (2023). Time-based moving target defense using Bayesian attack graph analysis. IEEE Access, 11, 40511-40524. doi: 10.1109/access.2023.3269018

Time-based moving target defense using Bayesian attack graph analysis

2023

Journal Article

Quantifying Satisfaction of Security Requirements of Cloud Software Systems

Nhlabatsi, Armstrong, Khan, Khaled Md, Hong, Jin B., Kim, Dong Seong, Fernandez, Rachael and Fetais, Noora (2023). Quantifying Satisfaction of Security Requirements of Cloud Software Systems. IEEE Transactions on Cloud Computing, 11 (1), 426-444. doi: 10.1109/TCC.2021.3097770

Quantifying Satisfaction of Security Requirements of Cloud Software Systems

2023

Conference Publication

Markov decision process for automatic cyber defense

Zhou, Xiaofan, Enoch, Simon Yusuf and Kim, Dong Seong (2023). Markov decision process for automatic cyber defense. 23rd International Conference, WISA 2022, Jeju Island, South Korea, 24–26 August 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-25659-2_23

Markov decision process for automatic cyber defense

2022

Conference Publication

Semantic preserving adversarial attack generation with autoencoder and genetic algorithm

Wang, Xinyi, Enoch, Simon Yusuf and Kim, Dan Dongseong (2022). Semantic preserving adversarial attack generation with autoencoder and genetic algorithm. IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, 4-8 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/globecom48099.2022.10000826

Semantic preserving adversarial attack generation with autoencoder and genetic algorithm

2022

Journal Article

DIVERGENCE: deep reinforcement learning-based adaptive traffic inspection and moving target defense countermeasure framework

Kim, Sunghwan, Yoon, Seunghyun, Cho, Jin-Hee, Kim, Dong Seong, Moore, Terrence J., Free-Nelson, Frederica and Lim, Hyuk (2022). DIVERGENCE: deep reinforcement learning-based adaptive traffic inspection and moving target defense countermeasure framework. IEEE Transactions On Network and Service Management, 19 (4), 4834-4846. doi: 10.1109/TNSM.2021.3139928

DIVERGENCE: deep reinforcement learning-based adaptive traffic inspection and moving target defense countermeasure framework

2022

Conference Publication

Evaluating performance and security of a hybrid moving target defense in SDN environments

Kim, Minjune, Cho, Jin-Hee, Lim, Hyuk, Moore, Terrence J., Nelson, Frederica F., Ko, Ryan K. L. and Dongseong Kim, Dan (2022). Evaluating performance and security of a hybrid moving target defense in SDN environments. 22nd IEEE International Conference on Software Quality, Reliability and Security (QRS), Guangzhou, China, 5-9 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/qrs57517.2022.00037

Evaluating performance and security of a hybrid moving target defense in SDN environments

2022

Journal Article

Evaluating the security and economic effects of moving target defense techniques on the cloud

Alavizadeh, Hooman, Aref, Samin, Kim, Dong Seong and Jang-Jaccard, Julian (2022). Evaluating the security and economic effects of moving target defense techniques on the cloud. IEEE Transactions on Emerging Topics in Computing, 10 (4), 1772-1788. doi: 10.1109/tetc.2022.3155272

Evaluating the security and economic effects of moving target defense techniques on the cloud

2022

Other Outputs

UQ IoT IDS dataset 2021

He, Ke, Kim, Dan, Zhang, Zhien, Ge, Mengmeng, Lam, Ulysses and Yu, Jiaqi (2022). UQ IoT IDS dataset 2021. The University of Queensland. (Dataset) doi: 10.48610/17b44bb

UQ IoT IDS dataset 2021

2022

Other Outputs

UQ-IoT-IDS2021

He, Ke, Kim, Dan and Zhang, Zhien (2022). UQ-IoT-IDS2021. The University of Queensland. (Dataset) doi: 10.48610/6acdb93

UQ-IoT-IDS2021

2022

Journal Article

An integrated security hardening optimization for dynamic networks using security and availability modeling with multi-objective algorithm

Enoch, Simon Yusuf, Mendonça, Júlio, Hong, Jin B., Ge, Mengmeng and Kim, Dong Seong (2022). An integrated security hardening optimization for dynamic networks using security and availability modeling with multi-objective algorithm. Computer Networks, 208 108864, 1-19. doi: 10.1016/j.comnet.2022.108864

An integrated security hardening optimization for dynamic networks using security and availability modeling with multi-objective algorithm

2022

Journal Article

Performability evaluation of switch-over Moving Target Defense mechanisms in a Software Defined Networking using stochastic reward nets

Nguyen, Tuan Anh, Kim, Minjune, Lee, Jangse, Min, Dugki, Lee, Jae-Woo and Kim, Dongseong (2022). Performability evaluation of switch-over Moving Target Defense mechanisms in a Software Defined Networking using stochastic reward nets. Journal of Network and Computer Applications, 199 103267, 103267. doi: 10.1016/j.jnca.2021.103267

Performability evaluation of switch-over Moving Target Defense mechanisms in a Software Defined Networking using stochastic reward nets

2022

Conference Publication

Security Modeling and Analysis of Moving Target Defense in Software Defined Networks

Mendonça, Júlio, Kim, Minjune, Graczyk, Rafal, Völp, Marcus and Kim, Dan Dongseong (2022). Security Modeling and Analysis of Moving Target Defense in Software Defined Networks. 27th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC), Beijing, China, 28 November - 1 December 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/PRDC55274.2022.00028

Security Modeling and Analysis of Moving Target Defense in Software Defined Networks

2022

Conference Publication

A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks

Moghaddam, Tina, Kim, Minjune, Cho, Jin-Hee, Lim, Hyuk, Moore, Terrence J., Nelson, Frederica F. and Kim, Dan Dongseong (2022). A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks. 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Baltimore, MD United States, 27-30 June 2022. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DSN-W54100.2022.00026

A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks

2022

Conference Publication

Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment

Kim, Minjune, Cho, Jin-Hee, Lim, Hyuk, Moore, Terrence J., Nelson, Frederica F. and Kim, Dan Dongseong (2022). Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment. 27th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC), Beijing, China, 28 November - 1 December 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/PRDC55274.2022.00026

Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment

2021

Conference Publication

Model-based cybersecurity analysis: past work and future directions

Enoch, Simon Yusuf, Ge, Mengmeng, Hong, Jin B. and Kim, Dong Seong (2021). Model-based cybersecurity analysis: past work and future directions. 67th Annual Reliability and Maintainability Symposium (RAMS), Orlando, FL USA, 24-27 May 2021. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/RAMS48097.2021.9605784

Model-based cybersecurity analysis: past work and future directions

2021

Journal Article

Novel security models, metrics and security assessment for maritime vessel networks

Enoch, Simon Yusuf, Lee, Jang Se and Kim, Dong Seong (2021). Novel security models, metrics and security assessment for maritime vessel networks. Computer Networks, 189 107934, 1-18. doi: 10.1016/j.comnet.2021.107934

Novel security models, metrics and security assessment for maritime vessel networks