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Associate Professor Dan Kim
Associate Professor

Dan Kim

Email: 
Phone: 
+61 7 336 54534

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

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

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)

  1. Kok Onn Chee (Ph.D., University of Queensland, 2024: Principal Advisor): Security Modelling and Analysis of Internet of Things against Evolving Attacks.

  2. 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).
  3. 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).

  4. 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).

  5. 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).

  6. 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 ).

  7. 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. )

  8. 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).

  9. Iman Elmir (Ph.D., Hassan 1st Univ. Morocco, 2017, co-supervisor): Security Modeling and Analysis of Intrusion Tolerant Data Centers

  10. 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)

  11. 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

Qualifications

  • Doctor of Philosophy of Computer Engineering, Korea Aerospace University (Hankuk Aviation University)

Research interests

  • Artificial Intelligence (AI) for cyber security

  • Adversarial attacks to AI and countermeasures

  • Cybersecurity Modeling and Analysis: Models, Metrics, Measurement and Visualisation

  • Interpretable, dependable and secure machine learning/deep learning

  • Internet of Things/Edge security

  • Moving target defense

  • Privacy preserving machine learning/deep learning

  • Security and Performability of Moving Target Defenses

  • 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

185 works between 2003 and 2024

161 - 180 of 185 works

2010

Conference Publication

Spam detection using feature selection and parameters optimization

Lee, Sang Min, Kim, Dong Seong, Kim, Ji Ho and Park, Jong Sou (2010). Spam detection using feature selection and parameters optimization. 2010 International Conference on Complex, Intelligent and Software Intensive Systems, Krakow, Poland, 15-18 February 2010. Piscataway, NJ United States: IEEE Engineering in Medicine and Biology Society : IEEE Consumer Electronics Society. doi: 10.1109/CISIS.2010.116

Spam detection using feature selection and parameters optimization

2009

Conference Publication

Dependability and security models

Trivedi, Kishor S., Kim, Dong Seong, Roy, Arpan and Medhi, Deep (2009). Dependability and security models. 2009 7th International Workshop on the Design of Reliable Communication Networks, DRCN 2009, , , October 25, 2009-October 28, 2009. IEEE. doi: 10.1109/DRCN.2009.5340029

Dependability and security models

2009

Conference Publication

Detecting DDoS attacks using dispersible traffic matrix and weighted moving average

Kim, Tae Hwan, Kim, Dong Seong, Lee, Sang Min and Park, Jong Sou (2009). Detecting DDoS attacks using dispersible traffic matrix and weighted moving average. 3rd International Conference on Information Security and Assurance, ISA 2009, , , June 25, 2009-June 27, 2009. doi: 10.1007/978-3-642-02617-1_30

Detecting DDoS attacks using dispersible traffic matrix and weighted moving average

2009

Conference Publication

Quantitative intrusion intensity assessment using important feature selection and proximity metrics

Lee, Sang Min, Kim, Dong Seong, Yoon, YoungHyun and Park, Jong Sou (2009). Quantitative intrusion intensity assessment using important feature selection and proximity metrics. 15th Pacific Rim International Symposium on Dependable Computing, Shanghai, China, 16-18 November, 2009. Los Alamitos, CA, United States: IEEE Computer Society. doi: 10.1109/PRDC.2009.29

Quantitative intrusion intensity assessment using important feature selection and proximity metrics

2009

Conference Publication

Toward optimal virtual machine placement and rejuvenation scheduling in a virtualized data center

Machida, Fumio, Kim, Dong Seong, Park, Jong Sou and Trivedi, Kishor S. (2009). Toward optimal virtual machine placement and rejuvenation scheduling in a virtualized data center. 2008 IEEE International Conference on Software Reliability Engineering Workshops (ISSRE Wksp), Seattle, WA, United States, 11-14 November, 2008. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISSREW.2008.5355515

Toward optimal virtual machine placement and rejuvenation scheduling in a virtualized data center

2009

Conference Publication

Availability modeling and analysis of a virtualized system

Kim, Dong Seong, Machida, Fumio and Trivedi, Kishor S. (2009). Availability modeling and analysis of a virtualized system. 2009 15th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2009, Shanghai, China, 16-18 November, 2009. Los Alamitos, CA, United States: IEEE Computer Society. doi: 10.1109/PRDC.2009.64

Availability modeling and analysis of a virtualized system

2009

Conference Publication

Resilience in computer systems and networks

Trivedi, Kishor S., Kim, Dong Seong and Ghosh, Rahul (2009). Resilience in computer systems and networks. ICCAD 2009, San Jose, California, 2 - 5 November, 2009 . New York, NY, USA: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1145/1687399.1687415

Resilience in computer systems and networks

2008

Conference Publication

Achieving availability and survivability in Wireless Sensor Networks by software rejuvenation

Parvin, Sazia, Kim, Dong Seong, Lee, Sang Min and Park, Jong Sou (2008). Achieving availability and survivability in Wireless Sensor Networks by software rejuvenation. International Conference on Pervasive Services, ICPS 2008 - 4th International Workshop on Security, Privacy and Trust in Pervasive and Ubiquitous Computing, SecPerU'08, , , July 6, 2008-July 10, 2008. New York, NY, USA: ACM. doi: 10.1145/1387329.1387332

Achieving availability and survivability in Wireless Sensor Networks by software rejuvenation

2008

Conference Publication

Software rejuvenation and reconfiguration for enhancing survivability of sensor networks

Kim, Dong Seong, Parvin, Sazia and Park, Jong Sou (2008). Software rejuvenation and reconfiguration for enhancing survivability of sensor networks. doi: 10.1109/WAINA.2008.231

Software rejuvenation and reconfiguration for enhancing survivability of sensor networks

2008

Journal Article

Modeling network intrusion detection system using feature selection and parameters optimization

Kim, Dong Seong and Park, Jong Sou (2008). Modeling network intrusion detection system using feature selection and parameters optimization. IEICE Transactions on Information and Systems, E91-D (4), 1050-1057. doi: 10.1093/ietisy/e91-d.4.1050

Modeling network intrusion detection system using feature selection and parameters optimization

2008

Conference Publication

Privacy preserving support vector machines in wireless sensor networks

Kim, Dong Seong, Azim, Muhammad Anwarul and Park, Jong Sou (2008). Privacy preserving support vector machines in wireless sensor networks. 3rd International Conference on Availability, Security, and Reliability, ARES 2008, Barcelona, Spain, 4-7 March 2008. Los Alamitos, CA, United States: IEEE Computer Society. doi: 10.1109/ARES.2008.151

Privacy preserving support vector machines in wireless sensor networks

2007

Conference Publication

Toward modeling sensor node security using task-role based access control with TinySec

Moon, Misun, Kim, Dong Seong and Park, Jong Sou (2007). Toward modeling sensor node security using task-role based access control with TinySec. Springer Verlag. doi: 10.1007/978-3-540-74377-4_77

Toward modeling sensor node security using task-role based access control with TinySec

2007

Conference Publication

A secure data aggregation scheme for wireless sensor networks

Ren, Shu Qin, Kim, Dong Seong and Park, Jong Sou (2007). A secure data aggregation scheme for wireless sensor networks.

A secure data aggregation scheme for wireless sensor networks

2007

Conference Publication

Access control and authorization for security of RFID multi-domain using SAML and XACML

Kim, Dong Seong, Shin, Taek-Hyun and Park, Jong Sou (2007). Access control and authorization for security of RFID multi-domain using SAML and XACML. IEEE Computer Society. doi: 10.1109/ICCIAS.2006.295330

Access control and authorization for security of RFID multi-domain using SAML and XACML

2007

Journal Article

International workshop on Security and Survivability in Distributed Sensor Networks (SSDSN 2007)

Park, Jong Sou, Lee, Jang-Se and Kim, Dong Seong (2007). International workshop on Security and Survivability in Distributed Sensor Networks (SSDSN 2007). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4743 LNCS

International workshop on Security and Survivability in Distributed Sensor Networks (SSDSN 2007)

2007

Conference Publication

A key revocation scheme for mobile sensor networks

Kim, Dong Seong, Sadi, Mohammed Golam and Park, Jong Sou (2007). A key revocation scheme for mobile sensor networks. 5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007 International Workshops: SSDSN, UPWN, WISH, SGC, ParDMCom, HiPCoMB, and IST-AWSN, , , August 29, 2007-August 31, 2007. Springer Verlag. doi: 10.1007/978-3-540-74767-3_5

A key revocation scheme for mobile sensor networks

2007

Conference Publication

Adaptation mechanisms for survivable sensor networks against denial of service attack

Kim, Dong Seong, Yang, Chung Su and Park, Jong Sou (2007). Adaptation mechanisms for survivable sensor networks against denial of service attack. doi: 10.1109/ARES.2007.32

Adaptation mechanisms for survivable sensor networks against denial of service attack

2007

Conference Publication

A security framework in RFID multi-domain system

Kim, Dong Seong, Shin, Taek-Hyun and Park, Jong Sou (2007). A security framework in RFID multi-domain system. doi: 10.1109/ARES.2007.24

A security framework in RFID multi-domain system

2005

Conference Publication

Genetic algorithm to improve SVM based network intrusion detection system

Kim, Dong Seong, Nguyen, Ha-Nam and Park, Jong Sou (2005). Genetic algorithm to improve SVM based network intrusion detection system. 19th International Conference on Advanced Information Networking and Applications, AINA 2005, , , March 28, 2005-March 30, 2005. doi: 10.1109/AINA.2005.191

Genetic algorithm to improve SVM based network intrusion detection system

2005

Conference Publication

Toward modeling lightweight intrusion detection system through correlation-based hybrid feature selection

Park, Jong Sou, Shazzad, Khaja Mohammad and Kim, Dong Seong (2005). Toward modeling lightweight intrusion detection system through correlation-based hybrid feature selection. 1st SKLOIS Conference on Information Security and Cryptology, CISC 2005, , , December 15, 2005-December 17, 2005. Springer Verlag. doi: 10.1007/11599548_24

Toward modeling lightweight intrusion detection system through correlation-based hybrid feature selection

Funding

Current funding

  • 2023 - 2026
    A Study on Development of Cyber-Physical Attack Response System and Security Management System for Maximizing Availability of Real-Time Distributed Resources
    International Energy Joint R&D Program
    Open grant

Past funding

  • 2020 - 2023
    Resilient Learning-based Defense under Adversarial and Uncertain Environments
    United States Army International Technology Center-Pacific (ITC-PAC)
    Open grant
  • 2019 - 2021
    Advanced security technologies for the internet of things (NZ Ministry of Business, Innovation & Employment-funded project administered by University of Canterbury)
    University of Canterbury
    Open grant
  • 2019 - 2020
    A research on modelling methods of threat and defence activities in cyber training environments
    Agency for Defence Development, Republic of Korea
    Open grant
  • 2019 - 2021
    Development and Evaluation of Service-Aware Intelligent Moving Target Defense for Tactical Networks (ITC-PAC grant administered by Gwangju Institute of Science and Technology)
    Gwangju Institute of Science and Technology
    Open grant

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

  • Cyber attacks to Machine/Deep Learning Techniques and Defences

  • Privacy Preserving Deep Learning Techniques

  • Graphical Security Models, Metrics and Measurements

  • Moving Target Defences

Supervision history

Current supervision

  • Doctor Philosophy

    AI based intrusion detection and response system

    Principal Advisor

    Other advisors: Associate Professor Guangdong Bai

  • Doctor Philosophy

    Advanced Moving Target Defence against AI based Cyber Attacks

    Principal Advisor

    Other advisors: Dr Guowei Yang

  • Doctor Philosophy

    Automated Penetration Testing using Advanced AI Techniques

    Principal Advisor

    Other advisors: Associate Professor Guangdong Bai

  • Doctor Philosophy

    Adversarial Cyber-Attacks and Defences for In-Vehicle Networks

    Principal Advisor

    Other advisors: Dr Naipeng Dong

  • Doctor Philosophy

    A comprehensive framework for automated cybersecurity assessment, mitigation, and education using graphical security models

    Principal Advisor

    Other advisors: Associate Professor Guangdong Bai

  • Doctor Philosophy

    Adversarial AI Attacks and Defenses in Intrusion Detection System for IoT

    Principal Advisor

    Other advisors: Associate Professor Guangdong Bai

  • Doctor Philosophy

    Automated Testing of Deep Learning Systems

    Associate Advisor

    Other advisors: Dr Naipeng Dong, Dr Guowei Yang

Completed supervision

Media

Enquiries

For media enquiries about Associate Professor Dan Kim's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au