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Featured 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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Featured 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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Featured 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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Featured 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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Featured 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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Featured 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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Featured 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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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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Featured 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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Featured 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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Featured 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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Featured 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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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 Utilizing cyberplace managers to prevent and control cybercrimes: a vignette experimental studyHo, Heemeng, Gilmour, John, Mazerolle, Lorraine and Ko, Ryan (2024). Utilizing cyberplace managers to prevent and control cybercrimes: a vignette experimental study. Security Journal, 37 (1), 129-152. doi: 10.1057/s41284-023-00371-8 |
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2024 Other Outputs PRISMA Results for Using Situational Crime Prevention (SCP)-C3 Cycle and Common Inventory of Cybersecurity Controls from ISO/IEC 27002:2022 to Prevent CybercrimesHo, Hee Meng, Ko, Ryan, Mazerolle, Lorraine and Miao, Cheng (2024). PRISMA Results for Using Situational Crime Prevention (SCP)-C3 Cycle and Common Inventory of Cybersecurity Controls from ISO/IEC 27002:2022 to Prevent Cybercrimes. The University of Queensland. (Dataset) doi: 10.48610/71aa67b |
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2024 Book Chapter AI for designing responsible and resilient food systemsKo, Ryan, Gain, Alexandria, Bongiovanni, Ivano, Browne, Will, Jarkas, Omar, Uhlmann, Kora and Viller, Stephen (2024). AI for designing responsible and resilient food systems. Food AI: A game changer for Australia’s food and beverage sector. (pp. 69-78) edited by Janet R. McColl-Kennedy and Damian Hine. Brisbane, QLD, Australia: The University of Queensland, Australia's Food and Beverage Accelerator (FaBA). doi: 10.14264/f5f35d0 |
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2024 Book Chapter Scp-bp Framework: Situational Crime Prevention for Managing Data Breaches in Business ProcessesMiao, Cheng, Ho, Heemeng, Tsen, Elinor, Gilmour, John and Ko, Ryan K. L. (2024). Scp-bp Framework: Situational Crime Prevention for Managing Data Breaches in Business Processes. Lecture Notes in Computer Science. (pp. 456-473) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-70396-6_26 |
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2023 Journal Article Evasion attack and defense on machine learning models in cyber-physical systems: a surveyWang, Shunyao, Ko, Ryan K. L., Bai, Guangdong, Dong, Naipeng, Choi, Taejun and Zhang, Yanjun (2023). Evasion attack and defense on machine learning models in cyber-physical systems: a survey. IEEE Communications Surveys and Tutorials, 26 (2), 930-966. doi: 10.1109/comst.2023.3344808 |
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2023 Journal Article ResNet and Yolov5-enabled non-invasive meat identification for high-accuracy box label verificationJarkas, Omar, Hall, Josh, Smith, Stuart, Mahmud, Redowan, Khojasteh, Parham, Scarsbrook, Joshua and Ko, Ryan K.L. (2023). ResNet and Yolov5-enabled non-invasive meat identification for high-accuracy box label verification. Engineering Applications of Artificial Intelligence, 125 106679, 106679. doi: 10.1016/j.engappai.2023.106679 |
