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2020

Journal Article

Differentially private collaborative coupling learning for recommender systems

Zhang, 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

Differentially private collaborative coupling learning for recommender systems

2020

Conference Publication

General Data Protection Regulation (GDPR) in Healthcare: Hot Topics and Research Fronts

Fatehi, Farhad, Hassandoust, Farkhondeh, Ko, Ryan K. L. and Akhlaghpour, Saeed (2020). General Data Protection Regulation (GDPR) in Healthcare: Hot Topics and Research Fronts. 30th Medical Informatics Europe (MIE) Conference, Geneva Switzerland, Apr, 2020. Amsterdam, Netherlands: IOS Press. doi: 10.3233/SHTI200336

General Data Protection Regulation (GDPR) in Healthcare: Hot Topics and Research Fronts

2020

Other Outputs

Submission to Department of Foreign Affairs and Trade’s Cyber and Critical Technology Engagement Strategy

Nabbs-Keller, Greta, Ko, Ryan, Axelsen, Michael, Bongiovanni, Ivano, Dowsett, Dallas, Liivoja, Rain, Maher, Ray, Massingham, Eve, McEwan, Chris, McKenzie, Simon, O’Quinn, Richard, Radke, Amelia and Williams, John (2020). Submission to Department of Foreign Affairs and Trade’s Cyber and Critical Technology Engagement Strategy. Brisbane, QLD, Australia: The University of Queensland.

Submission to Department of Foreign Affairs and Trade’s Cyber and Critical Technology Engagement Strategy

2020

Other Outputs

Dataset of data breaches and ransomware attacks over 15 years from 2004

Tsen, Elinor, Ko, Ryan and Slapnicar, Sergeja (2020). Dataset of data breaches and ransomware attacks over 15 years from 2004. The University of Queensland. (Dataset) doi: 10.14264/dfe5027

Dataset of data breaches and ransomware attacks over 15 years from 2004

2020

Conference Publication

Preface

Thampi, Sabu M., Martinez Perez, Gregorio, Ko, Ryan and Rawat, Danda B. (2020). Preface. 7th International Symposium on Security in Computing and Communications, SSCC 2019, Trivandrum, India, 18 - 21 December 2019. Heidelberg, Germany: Springer.

Preface

2020

Conference Publication

PrivColl: practical privacy-preserving collaborative machine learning

Zhang, 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

PrivColl: practical privacy-preserving collaborative machine learning

2020

Book

Security in Computing and Communications : 7th International Symposium, SSCC 2019, Trivandrum, India, December 18–21, 2019, Revised Selected Papers

Sabu M. Thampi, Gregorio Martinez Perez, Ryan Ko and Danda B. Rawat eds. (2020). Security in Computing and Communications : 7th International Symposium, SSCC 2019, Trivandrum, India, December 18–21, 2019, Revised Selected Papers. Communications in Computer and Information Science, Singapore: Springer Singapore. doi: 10.1007/978-981-15-4825-3

Security in Computing and Communications : 7th International Symposium, SSCC 2019, Trivandrum, India, December 18–21, 2019, Revised Selected Papers

2019

Other Outputs

A matter of security, privacy and trust: a study of the principles and values of encryption in New Zealand

Dizon, Michael, Ko, Ryan, Rumbles, Wayne, Gonzalez, Patricia, McHugh, Philip and Meehan, Anthony (2019). A matter of security, privacy and trust: a study of the principles and values of encryption in New Zealand. NZ Law Foundation: NZ Law Foundation.

A matter of security, privacy and trust: a study of the principles and values of encryption in New Zealand

2019

Journal Article

Message from the guest editors

Takahashi, Takeshi, Roman Castro, Rodrigo, Silverajan, Bilhanan, Ko, Ryan K. L. and Tabet, Said (2019). Message from the guest editors. International Journal of Information Security, 19 (1), 1-2. doi: 10.1007/s10207-019-00472-9

Message from the guest editors

2019

Other Outputs

Security systems, methods and devices

Ko, Ryan Kok Leong , Choi, Taejun and Anderson-Scott, Christian (2019). Security systems, methods and devices. 756876.

Security systems, methods and devices

2019

Book Chapter

Data provenance for big data security and accountability

Phua, Thye Way and Ko, Ryan K. L. (2019). Data provenance for big data security and accountability. Encyclopedia of big data technologies. (pp. 568-573) edited by Sherif Sakr and Albert Y. Zomaya. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-319-77525-8_237

Data provenance for big data security and accountability

2019

Conference Publication

Message from IEEE TrustCom 2019 General Chairs

Ko, Ryan, Chen, Liqun and Zhu, Liming (2019). Message from IEEE TrustCom 2019 General Chairs. 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), Rotorua, New Zealand, 5-8 August 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/trustcom/bigdatase.2019.00005

Message from IEEE TrustCom 2019 General Chairs

2018

Other Outputs

ISO/IEC 21878:2018 Information technology -- Security techniques -- Security guidelines for design and implementation of virtualized servers

Ko, 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.

ISO/IEC 21878:2018 Information technology -- Security techniques -- Security guidelines for design and implementation of virtualized servers

2018

Other Outputs

Towards one global privacy law

Ryan Ko, Mark Rodrigues, Aleksey Ladur and Craig Scoon (2018, 01 04). Towards one global privacy law AsiaGlobal Online

Towards one global privacy law

2018

Conference Publication

A full-scale security visualization effectiveness measurement and presentation approach

Garae, Jeffery, Ko, Ryan K. L. and Apperley, Mark (2018). A full-scale security visualization effectiveness measurement and presentation approach. 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018, New York, NY, United States, 31 July - 3 August 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/TrustCom/BigDataSE.2018.00095

A full-scale security visualization effectiveness measurement and presentation approach

2018

Conference Publication

MetropolJS: Visualizing and debugging large-scale javascript program structure with treemaps

Scarsbrook, Joshua D., Ko, Ryan K. L., Rogers, Bill and Bainbridge, David (2018). MetropolJS: Visualizing and debugging large-scale javascript program structure with treemaps. 26th Conference on Program Comprehension ICPC '18, Gothenburg, Sweden, 28-29 May 2018. New York, United States: ACM. doi: 10.1145/3196321.3196368

MetropolJS: Visualizing and debugging large-scale javascript program structure with treemaps

2018

Conference Publication

Security visualization intelligence model for law enforcement investigations

Garae, Jeffery, Ko, Ryan K. L ., Apperley, Mark and Schlickmann, Silvino J. (2018). Security visualization intelligence model for law enforcement investigations. 2018 Cyber Forensic & Security International Conference (2018 CFSIC), Nuku'alofa, Tonga, 21-23 August 2018. Nuku'alofa, Tonga:

Security visualization intelligence model for law enforcement investigations

2018

Book Chapter

Data Provenance for Big Data Security and Accountability

Phua, Thye Way and Ko, Ryan K. L. (2018). Data Provenance for Big Data Security and Accountability. Encyclopedia of Big Data Technologies. (pp. 1-6) Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-63962-8_237-1

Data Provenance for Big Data Security and Accountability

2017

Other Outputs

Turning the tide with cyber toolmakers

Ko, Ryan (2017, 09 01). Turning the tide with cyber toolmakers The National Business Review (NZ) 101-127.

Turning the tide with cyber toolmakers

2017

Book Chapter

Security visualization for cloud computing: an overview

Garae, Jeffery, Ko, Ryan K. and Apperley, Mark (2017). Security visualization for cloud computing: an overview. Data security in cloud computing. (pp. 277-295) edited by Vimal Kumar , Sivadon Chaisiri and Ryan Ko. London, United Kingdom: Institution of Engineering and Technology. doi: 10.1049/pbse007e_ch13

Security visualization for cloud computing: an overview