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2023 Journal Article Adversarial machine learning for network intrusion detection systems: a comprehensive surveyHe, Ke, Kim, Dan Dongseong and Asghar, Muhammad Rizwan (2023). Adversarial machine learning for network intrusion detection systems: a comprehensive survey. IEEE Communications Surveys and Tutorials, 25 (1), 538-566. doi: 10.1109/comst.2022.3233793 |
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Featured 2022 Journal Article A survey on cyber situation awareness systems: framework, techniques, and insightsAlavizadeh, Hooman, Jang-Jaccard, Julian, Enoch, Simon Yusuf, Al-Sahaf, Harith, Welch, Ian, Camtepe, Seyit A. and Kim, Dan Dongseong (2022). A survey on cyber situation awareness systems: framework, techniques, and insights. ACM Computing Surveys, 55 (5) 107, 1-37. doi: 10.1145/3530809 |
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2022 Journal Article Proactive defense for internet-of-things: moving target defense with cyberdeceptionGe, Mengmeng, Cho, Jin-Hee, Kim, Dongseong, DIxit, Gaurav and Chen, Ing-Ray (2022). Proactive defense for internet-of-things: moving target defense with cyberdeception. ACM Transactions on Internet Technology, 22 (1) 24, 1-31. doi: 10.1145/3467021 |
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2020 Journal Article Toward proactive, adaptive defense: A survey on moving target defenseCho, Jin-Hee, Sharma, Dilli P., Alavizadeh, Hooman, Yoon, Seunghyun, Ben-Asher, Noam, Moore, Terrence J., Kim, Dong Seong, Lim, Hyuk and Nelson, Frederica F. (2020). Toward proactive, adaptive defense: A survey on moving target defense. IEEE Communications Surveys and Tutorials, 22 (1) 8949517, 709-745. doi: 10.1109/comst.2019.2963791 |
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2024 Journal Article NIDS-Vis: Improving the generalized adversarial robustness of network intrusion detection systemHe, Ke, Kim, Dan Dongseong and Asghar, Muhammad Rizwan (2024). NIDS-Vis: Improving the generalized adversarial robustness of network intrusion detection system. Computers & Security, 145 104028, 104028. doi: 10.1016/j.cose.2024.104028 |
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2024 Conference Publication Towards generalized detection of face-swap deepfake imagesGhasemzadeh, Faraz, Moghaddam, Tina, Dai, Jingming, Yun, Joobeom and Kim, Dan Dongseong (2024). Towards generalized detection of face-swap deepfake images. WDC '24: 3rd ACM Workshop on the Security Implications of Deepfakes and Cheapfakes, Singapore, Singapore, 1-5 July 2024. New York, NY, United States: ACM. doi: 10.1145/3660354.3660359 |
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2024 Conference Publication MTD in plain sight: hiding network behavior in moving target defensesMoghaddam, Tina, Yang, Guowei, Thapa, Chandra, Camtepe, Seyit and Kim, Dan Dongseong (2024). MTD in plain sight: hiding network behavior in moving target defenses. 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Brisbane, QLD, Australia, 24-27 June 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/dsn-s60304.2024.00022 |
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2024 Conference Publication PANDA: Practical Adversarial Attack Against Network Intrusion DetectionSwain, Subrat Kumar, Kumar, Vireshwar, Bai, Guangdong and Kim, Dan Dongseong (2024). PANDA: Practical Adversarial Attack Against Network Intrusion Detection. IEEE. doi: 10.1109/dsn-s60304.2024.00017 |
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2024 Conference Publication AuSSE: a novel framework for security and safety evaluation for autonomous vehiclesNguyen, Nhung H., Cho, Jin-Hee, Moore, Terrence J., Yoon, Seunghyun, Lim, Hyuk, Nelson, Frederica, Bai, Guangdong and Kim, Dan Dongseong (2024). AuSSE: a novel framework for security and safety evaluation for autonomous vehicles. 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Brisbane, QLD, Australia, 24-27 June 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/dsn-s60304.2024.00012 |
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2024 Journal Article Cyber Security and Privacy Issues in Extended Reality Healthcare Applications: Scoping Review (Preprint)Lake, Kaitlyn, Mc Kittrick, Andrea, Desselle, Mathilde, Padilha Lanari Bo, Antonio, Abayasiri, Rammuni Achintha Mihiran, Fleming, Jennifer Michelle, Baghaei, Nilufar and Kim, Dan Dongseong (2024). Cyber Security and Privacy Issues in Extended Reality Healthcare Applications: Scoping Review (Preprint). JMIR XR and Spatial Computing. doi: 10.2196/59409 |
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2024 Journal Article HD-FUZZ: Hardware dependency-aware firmware fuzzing via hybrid MMIO modelingKim, Juhwan, Yu, Jihyeon, Lee, Youngwoo, Kim, Dan Dongseong and Yun, Joobeom (2024). HD-FUZZ: Hardware dependency-aware firmware fuzzing via hybrid MMIO modeling. Journal of Network and Computer Applications, 224 103835, 103835. doi: 10.1016/j.jnca.2024.103835 |
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2024 Journal Article IoTSecSim: a framework for modelling and simulation of security in Internet of ThingsChee, Kok Onn, Ge, Mengmeng, Bai, Guangdong and Kim, Dan Dongseong (2024). IoTSecSim: a framework for modelling and simulation of security in Internet of Things. Computers and Security, 136 103534, 103534. doi: 10.1016/j.cose.2023.103534 |
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2024 Book Chapter Hierarchical model-based cybersecurity risk assessment during system designJungebloud, Tino, H. Nguyen, Nhung, Seong Kim, Dong and Zimmermann, Armin (2024). Hierarchical model-based cybersecurity risk assessment during system design. ICT systems security and privacy protection. (pp. 30-44) edited by Norbert Meyer and Anna Grocholewska-Czuryło. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56326-3_3 |
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2024 Conference Publication PrefaceKim, Dan Dongseong and Chen, Chao (2024). Preface. 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, 4-6 December 2023. Springer Science and Business Media Deutschland GmbH. |
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2024 Book Machine Learning for Cyber Security: 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4–6, 2023, ProceedingsDan Dongseong Kim and Chao Chen eds. (2024). Machine Learning for Cyber Security: 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4–6, 2023, Proceedings. Lecture Notes in Computer Science, Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-2458-1 |
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2023 Conference Publication SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial ExamplesSwain, Subrat Kumar, Kumar, Vireshwar, Kim, Dan Dongseong and Bai, Guangdong (2023). SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples. 26th European Conference on Artificial Intelligence ECAI 2023, Kraków, Poland, 30 September – 4 October 2023. Amsterdam, Netherlands: IOS Press. doi: 10.3233/FAIA230525 |
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2023 Conference Publication POSTER: Toward Intelligent Cyber Attacks for Moving Target Defense Techniques in Software-Defined NetworkingMoghaddam, Tina, Yang, Guowei, Thapa, Chandra, Camtepe, Seyit and Kim, Dan Dongseong (2023). POSTER: Toward Intelligent Cyber Attacks for Moving Target Defense Techniques in Software-Defined Networking. 18th ACM ASIA Conference on Computer and Communications Security (ASIA CCS), Melbourne, VIC, Australia, 10-14 July 2023. New York, NY, United States: ACM. doi: 10.1145/3579856.3592825 |
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2023 Conference Publication EVADE: Efficient moVing tArget DEfense for autonomous network topology shuffling using deep reinforcement learningZhang, 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 |
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2023 Journal Article PP–GSM: Privacy-preserving graphical security model for security assessment as a serviceLee, 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 |
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2023 Conference Publication Continual Learning with Network Intrusion DatasetKim, 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 |
