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2022 Conference Publication Positive-unlabeled learning using random forests via recursive greedy risk minimizationWilton, Jonathan, Koay, Abigail M. Y., Ko, Ryan K. L., Miao Xu and Ye, Nan (2022). Positive-unlabeled learning using random forests via recursive greedy risk minimization. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November - 1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation. |
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2022 Journal Article Multiscale adaptive multifractal detrended fluctuation analysis-based source identification of synchrophasor dataCui, Yi, Bai, Feifei, Yin, Hongzhi, Chen, Tong, Dart, David, Zillmann, Matthew and Ko, Ryan K. L. (2022). Multiscale adaptive multifractal detrended fluctuation analysis-based source identification of synchrophasor data. IEEE Transactions on Smart Grid, 13 (6), 1-4. doi: 10.1109/tsg.2022.3207066 |
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2022 Journal Article Preserving privacy for distributed genome-wide analysis against identity tracing attacksZhang, Yanjun, Bai, Guangdong, Li, Xue, Nepal, Surya, Grobler, Marthie, Chen, Chen and Ko, Ryan K. L. (2022). Preserving privacy for distributed genome-wide analysis against identity tracing attacks. IEEE Transactions on Dependable and Secure Computing, 20 (4), 1-17. doi: 10.1109/tdsc.2022.3186672 |
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2022 Journal Article An exploratory study of organizational cyber resilience, its precursors and outcomesTsen, Elinor, Ko, Ryan K. L. and Slapnicar, Sergeja (2022). An exploratory study of organizational cyber resilience, its precursors and outcomes. Journal of Organizational Computing and Electronic Commerce, 32 (2), 1-22. doi: 10.1080/10919392.2022.2068906 |
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2022 Journal Article Situational Crime Prevention (SCP) Techniques to Prevent and Control Cybercrimes: A Focused Systematic ReviewHo, Heemeng, Ko, Ryan and Mazerolle, Lorraine (2022). Situational Crime Prevention (SCP) Techniques to Prevent and Control Cybercrimes: A Focused Systematic Review. Computers & Security, 115 102611, 1-24. doi: 10.1016/j.cose.2022.102611 |
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2021 Conference Publication On random editing in LZ-endRoodt, Daniel, Speidel, Ulrich, Kumar, Vimal and Ko, Ryan K. L. (2021). On random editing in LZ-end. 2021 Data Compression Conference (DCC), Snowbird, UT United States, 23 - 26 March 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/dcc50243.2021.00074 |
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2021 Conference Publication It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN BurstsWang, Kailong, Zhang, Junzhe, Bai, Guangdong, Ko, Ryan and Dong, Jin Song (2021). It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts. WWW '21: The Web Conference 2021, Ljubljana, Slovenia, 19-23 April 2021. New York, NY United States: ACM. doi: 10.1145/3442381.3450008 |
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Featured 2021 Journal Article Source authentication of distribution synchrophasors for cybersecurity of microgridsCui, Yi, Bai, Feifei, Yan, Ruifeng, Saha, Tapan, Ko, Ryan K L and Liu, Yilu (2021). Source authentication of distribution synchrophasors for cybersecurity of microgrids. IEEE Transactions on Smart Grid, 12 (5) 9454123, 1-1. doi: 10.1109/tsg.2021.3089041 |
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2020 Journal Article Differentially private collaborative coupling learning for recommender systemsZhang, Yanjun, Bai, Guangdong, Zhong, Mingyang, Li, Xue and Ko, Ryan K. L. (2020). Differentially private collaborative coupling learning for recommender systems. IEEE Intelligent Systems, 36 (1) 9130104, 1-1. doi: 10.1109/MIS.2020.3005930 |
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2020 Conference Publication PrivColl: practical privacy-preserving collaborative machine learningZhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2020). PrivColl: practical privacy-preserving collaborative machine learning. European Symposium on Research in Computer Security, Guildford, United Kingdom, 14-18 September 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58951-6_20 |
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2018 Other Outputs ISO/IEC 21878:2018 Information technology -- Security techniques -- Security guidelines for design and implementation of virtualized serversKo, Ryan, Clarke, Geoff, Ramaswamy, Chandramouli, Ge, Xiaoyu and Chaudury, Abhik (2018). ISO/IEC 21878:2018 Information technology -- Security techniques -- Security guidelines for design and implementation of virtualized servers. ISO/IEC JTC 1/SC 27 Information Security, cybersecurity and privacy protection Geneva, Switzerland: ISO. |
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2017 Journal Article A scalable approach to joint cyber insurance and security-as-a-service provisioning in cloud computingChase, Jonathan, Niyato, Dusit, Wang, Ping, Chaisiri, Sivadon and Ko, Ryan (2017). A scalable approach to joint cyber insurance and security-as-a-service provisioning in cloud computing. IEEE Transactions on Dependable and Secure Computing, 16 (4) 7926340, 1-1. doi: 10.1109/tdsc.2017.2703626 |
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2017 Conference Publication The full provenance stack: five layers for complete and meaningful provenanceKo, Ryan K. L. and Phua, Thye Way (2017). The full provenance stack: five layers for complete and meaningful provenance. 10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017, Guangzhou, China, 12-15 December 2017. Cham, Switzerland: Springer . doi: 10.1007/978-3-319-72395-2_18 |
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2025 Journal Article Adapting to the stream: an instance-attention GNN method for irregular multivariate time series dataHan, Kun, Koay, Abigail M. Y., Ko, Ryan K. L., Chen, Weitong and Xu, Miao (2025). Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data. Frontiers of Computer Science, 19 (8) 198340. doi: 10.1007/s11704-024-40449-z |
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2025 Journal Article Contrasting the optimal resource allocation to cybersecurity and cyber insurance using prospect theory versus expected utility theoryJoshi, Chaitanya, Slapničar, Sergeja, Yang, Jinming and Ko, Ryan (2025). Contrasting the optimal resource allocation to cybersecurity and cyber insurance using prospect theory versus expected utility theory. Computers and Security, 154 104450, 1-14. doi: 10.1016/j.cose.2025.104450 |
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2025 Journal Article A container security survey: exploits, attacks, and defensesJarkas, Omar, Ko, Ryan, Dong, Naipeng and Mahmud, Redowan (2025). A container security survey: exploits, attacks, and defenses. ACM Computing Surveys, 57 (7) 170, 1-36. doi: 10.1145/3715001 |
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2024 Book Chapter Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation ApproachHan, Kun, Koay, Abigail, Ko, Ryan K. L., Chen, Weitong and Xu, Miao (2024). Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach. Lecture Notes in Computer Science. (pp. 293-307) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-96-1242-0_22 |
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2024 Other Outputs The Australia-Korea cyber cooperation in the context of the Australian Cyber Security Strategy 2023-2030Ko, Ryan (2024). The Australia-Korea cyber cooperation in the context of the Australian Cyber Security Strategy 2023-2030. Seoul, Republic of Korea: Korea on Point. |
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2024 Conference Publication Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilienceZhang, Yanjun, Sun, Ruoxi, Shen, Liyue, Bai, Guangdong, Xue, Minhui, Meng, Mark Huasong, Li, Xue, Ko, Ryan and Nepal, Surya (2024). Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience. WWW '24: ACM Web Conference 2024, Singapore, Singapore, 13-17 May 2024. New York, NY, United States: ACM. doi: 10.1145/3589334.3645545 |
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2024 Journal Article Using Situational Crime Prevention (SCP)-C3 cycle and common inventory of cybersecurity controls from ISO/IEC 27002:2022 to prevent cybercrimesHo, Heemeng, Ko, Ryan, Mazerolle, Lorraine, Gilmour, John and Miao, Cheng (2024). Using Situational Crime Prevention (SCP)-C3 cycle and common inventory of cybersecurity controls from ISO/IEC 27002:2022 to prevent cybercrimes. Journal of Cybersecurity, 10 (1) tyae020. doi: 10.1093/cybsec/tyae020 |
