![Associate Professor Dan Kim](/sites/default/files/profiles/23703.png)
Overview
Background
Prospective Students
Please visit the link (https://sites.google.com/view/dsteam/pros-students).
Short Biography
Dr. Dan Dongseong Kim is Deputy Director of UQ Cybersecurity and an Associate Professor (in the commonwealth system, is broadly equivalent to a North American full professor) (continuing appointment) in Cyber Security at The University of Queensland (UQ), Brisbane, Australia. Before UQ, he was a faculty member (permanent academic staff; Senior Lecturer 2015-2018, Lecturer 2011-2014) in Cyber Security in the Department of Computer Science and Software Engineering at The University of Canterbury (UC), Christchurch, New Zealand from 2011 to 2018. From 2008 to 2011, he was a postdoc at Duke University, Durham, North Carolina in the US. He was a visiting scholar at the University of Maryland, College Park, Maryland in the US in 2007. His research interests are in Cyber Security and Dependability for various systems and networks. Please visit his research team webpage: https://sites.google.com/view/dsteam/
Publications
- Google Scholars (6000+ citations, h-index: 40, i10-index: 111): https://scholar.google.com/citations?user=dIIYVQkAAAAJ&hl=en
- DBLP (170+ publications): https://dblp.org/pid/k/DongSeongKim.html
Research Focus: Cyber G.A.M.E
- Graphical Models for Cyber Security: Model-based Cyber Security Risk Analysis
- AI for Cybersecurity & Cyber Security for AI: Securing AI systems and Cybersecurity using AI techniques
- Moving Target Defense (MTD): Resilient and Proactive Defence
- Evolving Attacks and Defense Automation: Red team and Blue team Automation and evaluation using AI
Professional Activities (selected)
- Associate Editor, IEEE Communications Surveys and Tutorials (impact factor: 33.84 (2022-2023), #1 impact factor among all the IEEE journals), 2021 - present.
- Editorial Board Member, Elsevier Computers and Security (impact factor: 5.6 (2023)), 2019 - present.
- Editorial Board Member, Elsevier Computer Networks (impact factor: 5.6 (2023)), April 2022 - present.
- An Elected Member of the IFIP WG 10.4 on Dependable Computing and Fault Tolerance (2021 onwards).
- The IFIP WG 10.4 consists of over 60 experts in the field of fault-tolerance, dependable and secure computing.
- Steering committee member of IFIP/IEEE DSN, 2021-2025.
- Steering committee chair of IEEE PRDC, 2022-present.
- Steering committee member of IEEE PRDC, 2019-present.
- TPC member of international conferences including IFIP/IEEE DSN, SRDS, ISSRE, ICDCS, etc.
Selected publications
- Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey, IEEE Communications Surveys & Tutorials (Impact factor in 2021: 33.84)
- Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense, IEEE Communications Surveys & Tutorials 2020 [Impact Factor 2018-19: 22.973]
- A Survey on Threat Situation Awareness Systems: Framework, Techniques, and Insights, ACM Computing Surveys, 2022 [Impact Factor 2021-22: 10.282, ranked 4/137 in Computer Science Theory & Methods]
- Evaluating the effectiveness of shuffle and redundancy MTD techniques in the cloud. Computers & Security (2021) [Impact factor: 4.438]
- Threat-Specific Security Risk Evaluation in the Cloud. IEEE Trans. Cloud Comput. 9(2): 793-806 (2021) [Impact factor: 4.714]
- Dynamic Security Metrics for Measuring the Effectiveness of Moving Target Defense Techniques, Computers & Security, Elsevier, 2018 [Impact factor: 4.438]
- Assessing the Effectiveness of Moving Target Defenses using Security Models. IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2016. [CORE Rank A, Impact factor: 6.404]
- Recovery from software failures caused by Mandelbugs. IEEE Transactions on Reliability, 2016. [CORE Rank A, Impact factor: 2.79]
- Sensitivity Analysis of Server Virtualized System Availability. IEEE Transactions on Reliability, 61(4): 994-1006, 2012. [CORE Rank A, Impact factor: 2.293]
- Scalable Optimal Countermeasure Selection using Implicit Enumeration on Attack Countermeasure Trees, IEEE/IFIP DSN 2012 [CORE Rank A*]
Research Sponsors (past and current)
- NSF (US), IBM T.J. Watson (US), US Army Research Lab. (US), NEC (Japan), Tait Comm. (NZ), MBIE (NZ), NPRP (Qatar), ADD (Republic of Korea), NRF (Republic of Korea), etc.
Recent Ph.D. graduates (selected)
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Kok Onn Chee (Ph.D., University of Queensland, 2024: Principal Advisor): Security Modelling and Analysis of Internet of Things against Evolving Attacks.
- Minjune Kim (Ph.D., , University of Queensland, 2023: Principal Advisor): Security and performance evaluation of software defined networking adopting moving target defenses (Research Engineer at CSRIO's Data61, Australia).
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Dilli P. Sharma (Ph.D., University of Canterbury, 2020; senior supervisor at UC, -> co-supervisor at UQ): Software-defined networking based moving target defenses. (Postdoc at U. of New Brunswick, Canada -> Postdoc at the University of Toronto, Canada).
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Taehoon Eom (Ph.D., 2020, KAU, Korea, co-supervisor): Security modeling and analysis for performance enhancement in software defined network (Researcher at KAU-> Research Professor at KAU -> Artificial Intelligence Industry Cluster Agency (AICA), South Korea).
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Hooman Alavizadeh (Ph.D., Massey University, NZ, 2019, co-supervisor): Effective Security Analysis for Combinations of MTD Techniques on Cloud Computing (a Postdoc, Massey University -> Postdoc at UNSW Canberra->Lecturer at U of Sydney-> Lecturer (continuing academic staff), La Trobe University, Australia).
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Kieran Morris (Ph.D., ECE, University of Canterbury, NZ, 2019, co-supervisor): Reliability and resilience evaluation of distribution automation (first employment: Tait communications, NZ-> Noted Ltd ).
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Simon (Enochson) Yusuf (Ph.D., Computer Science, NZ, University of Canterbury, Dec 2018, senior supervisor): Dynamic Cyber Security Modeling and Analysis (Postdoc at UQ-> Lecturer (continuing academic staff) at Federal University Kashere (FUK), Gombe, Nigeria -> Lecturer at Whitecliffe College, New Zealand. )
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Mengmeng Ge (Ph.D., Computer Science, University of Canterbury, 2018; senior supervisor): Graphical security modeling and assessment for the Internet of things (Lecturer (continuing academic) in Cybersecurity at Deakin University -> RMIT University, Australia -> Deloitte New Zealand-> Senior Lecturer, University of Canterbury, New Zealand).
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Iman Elmir (Ph.D., Hassan 1st Univ. Morocco, 2017, co-supervisor): Security Modeling and Analysis of Intrusion Tolerant Data Centers
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Jin B. Hong (Ph.D., Computer Science, University of Canterbury, April 2015, senior supervisor): Scalable and Adaptable Security Modeling and Analysis. (First employment: Postdoc, UC, NZ -> Lecturer, then Senior Lecturer in Cybersecurity at U of Western Australia)
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Nguyen Tuan Anh (Ph.D., August 2015, KAU, co-supervisor): Availability Modeling and Analysis of Data Center Systems using Stochastic Reward Nets. (Postdoc, Kunkuk University, South Korea -> an Academic Research Professor, Kunkuk University, South Korea)
Cyber Security Research Experience
Dan Dongseong Kim has been working on various topics in computer and network security since 2001. Dan started his research with crypto algorithms design, implementation, and testing for hardware devices such as FPGA/ASICs. Then, he worked on machine learning/data mining approaches for (host-based, network-based) intrusion detection from 2001 onward. His master's thesis was a machine learning (ML)-based network intrusion detection. He worked on various computer and network security topics such as an intelligent SIEM (it was called enterprise security management at that time), authentication protocols for RFID systems, security and privacy for Wireless Sensor Networks (WSNs), etc. His Ph.D. topics were security and privacy for WSNs. He spent one year as a visiting scholar at The University of Maryland (UMD), College Park, Maryland in the US in 2007 under the supervision of Prof. Virgil D. Gligor.
He started working on dependability more seriously in addition to Cyber Security in 2008 when he started his postdoc research at Duke University under the supervision of the Hudson Chaired Professor Kishor S. Trivedi. He worked on research projects funded by the US NSF, NEC Japan, and IBM T.J. Watson in the area of dependability (availability/performance) of data centers/cloud computing and cybersecurity modeling & analysis.
Since he became a faculty member at The University of Canterbury, New Zealand in August 2011, he explored deeply the area of graphical models for cybersecurity, metrics, measurement, and efficient evaluation methods for automated cybersecurity modeling and analysis and applied those key ideas to Cloud computing, Internet of Things (IoT), Moving Target Defenses (MTD), cyber deception, and automated cyber-attacks generation. He worked with diverse groups of people from various countries including Australia, Bangladesh, Brazil, China, Germany, India, Iran, Italy, Japan, Saudi Arabia, South Korea, Mongolia, Morocco, Malaysia, Nepal, New Zealand, Nigeria, Pakistan, Qatar, USA, UK, and Vietnam.
Academic Genealogy
As for his academic genealogy, his Ph.D. thesis advisor was
- Jong-Sou Park (Pennsylvania State University, Ph.D., 1994); his one was
- Paul Thomas Hulina (Pennsylvania State University, Ph.D., 1969); then it runs back through
- Jon Gustav Bredeson (Northwestern University, Ph.D., 1967),
- Seifollah Louis Hakimi (The University of Illinois at Urbana-Champaign (UIUC), Ph.D., 1959),
- Mac Van Valkenburg (Stanford University, Ph.D., 1952),
- Oswald Garrison Villard, Jr. (Stanford University, Ph.D., 1949),
- Frederick Emmons Terman (widely credited as being the father of Silicon Valley) (Massachusetts Institute of Technology (MIT), 1924, Sc.D.) and
- Vannevar Bush (Jointly Harvard/MIT, D. Eng., 1916) to
- Arthur Edwin Kennelly (Professor at Harvard/MIT) (who was working in Thomas Edison's West Orange Laboratory from December 1887 to March 1894) and Dugald C. Jackson.
His postdoc advisor is Professor Kishor S. Trivedi (UIUC, Ph.D., 1974) who is a Life Fellow of IEEE and the Hudson Distinguished Professor of Electrical and Computer Engineering at Duke University, USA. Please visit the academic tree from Duglad C. Jackson up to the ancestors at the academic tree (link).
Availability
- Associate Professor Dan Kim is:
- Available for supervision
Fields of research
Qualifications
- Doctor of Philosophy of Computer Engineering, Korea Aerospace University (Hankuk Aviation University)
Research interests
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Artificial Intelligence (AI) for cyber security
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Adversarial attacks to AI and countermeasures
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Cybersecurity Modeling and Analysis: Models, Metrics, Measurement and Visualisation
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Interpretable, dependable and secure machine learning/deep learning
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Internet of Things/Edge security
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Moving target defense
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Privacy preserving machine learning/deep learning
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Security and Performability of Moving Target Defenses
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Software Defined Networking security
Research impacts
- Secure and Safe networking environment
- Resilient systems and networks
- Trustworthy AI systems
Works
Search Professor Dan Kim’s works on UQ eSpace
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
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
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
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
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
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
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
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
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, PP (99), 1-1. doi: 10.1109/TNSM.2021.3139928
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
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
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
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
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
2021
Journal Article
DESOLATER: deep reinforcement learning-based resource allocation and moving target defense deployment framework
Yoon, Seunghyun, Cho, Jin-Hee, Kim, Dong Seong, Moore, Terrence J., Free-Nelson, Frederica and Lim, Hyuk (2021). DESOLATER: deep reinforcement learning-based resource allocation and moving target defense deployment framework. IEEE Access, 9 9418999, 70700-70714. doi: 10.1109/access.2021.3076599
2021
Journal Article
Performance impact analysis of services under a time-based moving target defense mechanism
Mendonça, Júlio, Cho, Jin-Hee, Moore, Terrence J, Nelson, Frederica F, Lim, Hyuk and Kim, Dan Dongseong (2021). Performance impact analysis of services under a time-based moving target defense mechanism. Journal of Defense Modeling and Simulation, 20 (1), 41-56. doi: 10.1177/15485129211036937
2021
Journal Article
Panop: Mimicry-Resistant ANN-based Distributed NIDS for IoT Networks
Kim, Hyunjun, Ahn, Sunwoo, Ha, Whoi Ree, Kang, Hyunjae, Kim, Dong Seong, Kim, Huy Kang and Paek, Yunheung (2021). Panop: Mimicry-Resistant ANN-based Distributed NIDS for IoT Networks. IEEE Access, 9 9508433, 111853-111864. doi: 10.1109/ACCESS.2021.3103015
2021
Conference Publication
A Framework for Generating Evasion Attacks for Machine Learning Based Network Intrusion Detection Systems
Mogg, Raymond, Enoch, Simon Yusuf and Kim, Dong Seong (2021). A Framework for Generating Evasion Attacks for Machine Learning Based Network Intrusion Detection Systems. 22nd International Conference, WISA 2021, Jeju, Korea, 11–13 August 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-89432-0_5
2020
Journal Article
Privacy-preserving reinforcement learning using homomorphic encryption in cloud computing infrastructures
Park, Jaehyoung, Kim, Dong Seong and Lim, Hyuk (2020). Privacy-preserving reinforcement learning using homomorphic encryption in cloud computing infrastructures. IEEE Access, 8 203564, 203564-203579. doi: 10.1109/access.2020.3036899
2020
Journal Article
Dynamic security metrics for software-defined network-based moving target defense
Sharma, Dilli P., Enoch, Simon Yusuf, Cho, Jin-Hee, Moore, Terrence J., Nelson, Frederica F., Lim, Hyuk and Kim, Dong Seong (2020). Dynamic security metrics for software-defined network-based moving target defense. Journal of Network and Computer Applications, 170 102805. doi: 10.1016/j.jnca.2020.102805
Supervision
Availability
- Associate Professor Dan Kim is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
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Cyber attacks to Machine/Deep Learning Techniques and Defences
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Privacy Preserving Deep Learning Techniques
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Graphical Security Models, Metrics and Measurements
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Moving Target Defences
Supervision history
Current supervision
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Doctor Philosophy
Adversarial Cyber-Attacks and Defences for In-Vehicle Networks
Principal Advisor
Other advisors: Dr Naipeng Dong
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Doctor Philosophy
A comprehensive framework for automated cybersecurity assessment, mitigation, and education using graphical security models
Principal Advisor
Other advisors: Associate Professor Guangdong Bai
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Doctor Philosophy
Adversarial AI Attacks and Defenses in Intrusion Detection System for IoT
Principal Advisor
Other advisors: Associate Professor Guangdong Bai
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Doctor Philosophy
AI based intrusion detection and response system
Principal Advisor
Other advisors: Associate Professor Guangdong Bai
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Doctor Philosophy
Advanced Moving Target Defence against AI based Cyber Attacks
Principal Advisor
Other advisors: Dr Guowei Yang
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Doctor Philosophy
Automated Penetration Testing using Advanced AI Techniques
Principal Advisor
Other advisors: Associate Professor Guangdong Bai
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Doctor Philosophy
Automated Testing of Deep Learning Systems
Associate Advisor
Other advisors: Dr Naipeng Dong, Dr Guowei Yang
Completed supervision
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2024
Doctor Philosophy
Security Modelling and Analysis of Internet of Things against Evolving Attacks
Principal Advisor
Other advisors: Associate Professor Guangdong Bai
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2023
Doctor Philosophy
Security and Performance Evaluation of Software Defined Networking adopting Moving Target Defenses
Principal Advisor
Other advisors: Professor Ryan Ko
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2024
Master Philosophy
SAGA: A Secure Auto-configurable Gateway Architecture for Smart Home
Associate Advisor
Media
Enquiries
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