Ryan K. L. Ko

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 57

Top Topics

Data Provenance

Homomorphic Encryption

Top Venues

Trustcom/BigDataSE/ISPA

TrustCom/BigDataSE/ISPA (1)

Publications

Shunyao Wang, Ryan K. L. Ko, Guangdong Bai, Naipeng Dong, Taejun Choi, Yanjun Zhang
Evasion Attack and Defense on Machine Learning Models in Cyber-Physical Systems: A Survey. IEEE Commun. Surv. Tutorials 26 (2) (2024)
Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. WWW (2024)
Abigail M. Y. Koay, Ryan K. L. Ko, Hinne Hettema, Kenneth Radke
Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges. J. Intell. Inf. Syst. 60 (2) (2023)
William J. Bingley, Caitlin Curtis, Steven Lockey, Alina Bialkowski, Nicole M. Gillespie, S. Alexander Haslam, Ryan K. L. Ko, Niklas Steffens, Janet Wiles, Peter Worthy
Where is the human in human-centered AI? Insights from developer priorities and user experiences. Comput. Hum. Behav. 141 (2023)
Joshua D. Scarsbrook, Mark Utting, Ryan K. L. Ko
TypeScript's Evolution: An Analysis of Feature Adoption Over Time. MSR (2023)
Yanjun Zhang, Guangdong Bai, Xue Li, Surya Nepal, Marthie Grobler, Chen Chen, Ryan K. L. Ko
Preserving Privacy for Distributed Genome-Wide Analysis Against Identity Tracing Attacks. IEEE Trans. Dependable Secur. Comput. 20 (4) (2023)
Redowan Mahmud, Joshua D. Scarsbrook, Ryan K. L. Ko, Omar Jarkas, Josh Hall, Stuart Smith, Jonathan Marshall
Realizing credible remote agricultural auditing with trusted video technology. J. Cybersecur. 9 (1) (2023)
Joshua D. Scarsbrook, Mark Utting, Ryan K. L. Ko
TypeScript's Evolution: An Analysis of Feature Adoption Over Time. CoRR (2023)
Omar Jarkas, Josh Hall, Stuart Smith, Md. Redowan Mahmud, Parham Khojasteh, Joshua D. Scarsbrook, Ryan K. L. Ko
ResNet and Yolov5-enabled non-invasive meat identification for high-accuracy box label verification. Eng. Appl. Artif. Intell. 125 (2023)
Surya Nepal, Ryan K. L. Ko, Marthie Grobler, L. Jean Camp
Editorial: Human-Centric Security and Privacy. Frontiers Big Data 5 (2022)
Yi Cui, Feifei Bai, Hongzhi Yin, Tong Chen, David Dart, Matthew Zillmann, Ryan K. L. Ko
Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data. IEEE Trans. Smart Grid 13 (6) (2022)
Yi Cui, Feifei Bai, Ruifeng Yan, Tapan Kumar Saha, Mehdi Mosadeghy, Hongzhi Yin, Ryan K. L. Ko, Yilu Liu
Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart Grids. IEEE Trans. Smart Grid 13 (2) (2022)
Liuhuo Wan, Yanjun Zhang, Ruiqing Li, Ryan K. L. Ko, Louw Hoffman, Guangdong Bai
SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset Generation. ADMA (1) (2022)
Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica Free-Nelson, Ryan K. L. Ko, Dan Dongseong Kim
Evaluating Performance and Security of a Hybrid Moving Target Defense in SDN Environments. QRS (2022)
Elinor Tsen, Ryan K. L. Ko, Sergeja Slapnicar
An exploratory study of organizational cyber resilience, its precursors and outcomes. J. Organ. Comput. Electron. Commer. 32 (2) (2022)
Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko, Miao Xu, Nan Ye
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization. CoRR (2022)
Haoxi Tan, Mahin Chandramohan, Cristina Cifuentes, Guangdong Bai, Ryan K. L. Ko
ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence. CoRR (2021)
Yanjun Zhang, Guangdong Bai, Xue Li, Surya Nepal, Ryan K. L. Ko
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning. CoRR (2021)
Yi Cui, Feifei Bai, Ruifeng Yan, Tapan Kumar Saha, Ryan K. L. Ko, Yilu Liu
Source Authentication of Distribution Synchrophasors for Cybersecurity of Microgrids. IEEE Trans. Smart Grid 12 (5) (2021)
Yanjun Zhang, Guangdong Bai, Xue Li, Caitlin Curtis, Chen Chen, Ryan K. L. Ko
Privacy-Preserving Gradient Descent for Distributed Genome-Wide Analysis. ESORICS (2) (2021)
Taejun Choi, Ryan K. L. Ko, Tapan Kumar Saha, Joshua D. Scarsbrook, Abigail M. Y. Koay, Shunyao Wang, Wenlu Zhang, Connor St Clair
Plan2Defend: AI Planning for Cybersecurity in Smart Grids. ISGT Asia (2021)
Taejun Choi, Guangdong Bai, Ryan K. L. Ko, Naipeng Dong, Wenlu Zhang, Shunyao Wang
An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems. CoRR (2021)
Chalee Vorakulpipat, Ryan K. L. Ko, Qi Li, Ahmed Meddahi
Security and Privacy in Smart Cities. Secur. Commun. Networks 2021 (2021)
Abigail M. Y. Koay, Miao Xie, Ryan K. L. Ko, Charles Sterner, Taejun Choi, Naipeng Dong
SDGen: A Scalable, Reproducible and Flexible Approach to Generate Real World Cyber Security Datasets. UbiSec (2021)
Daniel Roodt, Ulrich Speidel, Vimal Kumar, Ryan K. L. Ko
On Random Editing in LZ-End. DCC (2021)
Yanjun Zhang, Guangdong Bai, Mingyang Zhong, Xue Li, Ryan K. L. Ko
Differentially Private Collaborative Coupling Learning for Recommender Systems. IEEE Intell. Syst. 36 (1) (2021)
Kailong Wang, Junzhe Zhang, Guangdong Bai, Ryan K. L. Ko, Jin Song Dong
It's Not Just the Site, It's the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts. WWW (2021)
Daniel Roodt, Ulrich Speidel, Vimal Kumar, Ryan K. L. Ko
Local Editing in LZ-End Compressed Data. CoRR (2020)
Farhad Fatehi, Farkhondeh Hassandoust, Ryan K. L. Ko, Saeed Akhlaghpour
General Data Protection Regulation (GDPR) in Healthcare: Hot Topics and Research Fronts. MIE (2020)
Taejun Choi, Guangdong Bai, Ryan K. L. Ko, Naipeng Dong, Wenlu Zhang, Shunyao Wang
An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems. TrustCom (2020)
Hetong Jiang, Taejun Choi, Ryan K. L. Ko
Pandora: A Cyber Range Environment for the Safe Testing and Deployment of Autonomous Cyber Attack Tools. CoRR (2020)
Ryan K. L. Ko
Cyber Autonomy: Automating the Hacker- Self-healing, self-adaptive, automatic cyber defense systems and their impact to the industry, society and national security. CoRR (2020)
Yanjun Zhang, Guangdong Bai, Xue Li, Caitlin Curtis, Chen Chen, Ryan K. L. Ko
PrivColl: Practical Privacy-Preserving Collaborative Machine Learning. ESORICS (1) (2020)
Takeshi Takahashi, Rodrigo Roman Castro, Bilhanan Silverajan, Ryan K. L. Ko, Said Tabet
Message from the guest editors. Int. J. Inf. Sec. 19 (1) (2020)
Hetong Jiang, Taejun Choi, Ryan K. L. Ko
Pandora: A Cyber Range Environment for the Safe Testing and Deployment of Autonomous Cyber Attack Tools. SSCC (2020)
Yanjun Zhang, Guangdong Bai, Xue Li, Caitlin Curtis, Chen Chen, Ryan K. L. Ko
PrivColl: Practical Privacy-Preserving Collaborative Machine Learning. CoRR (2020)
Jonathan Chase, Dusit Niyato, Ping Wang, Sivadon Chaisiri, Ryan K. L. Ko
A Scalable Approach to Joint Cyber Insurance and Security-as-a-Service Provisioning in Cloud Computing. IEEE Trans. Dependable Secur. Comput. 16 (4) (2019)
Joshua D. Scarsbrook, Ryan K. L. Ko, Bill Rogers, David Bainbridge
MetropolJS: visualizing and debugging large-scale javascript program structure with treemaps. ICPC (2018)
Jeffery Garae, Ryan K. L. Ko, Mark Apperley
A Full-Scale Security Visualization Effectiveness Measurement and Presentation Approach. TrustCom/BigDataSE (2018)
Ryan K. L. Ko, Thye Way Phua
The Full Provenance Stack: Five Layers for Complete and Meaningful Provenance. SpaCCS Workshops (2017)
Jeffery Garae, Ryan K. L. Ko, Janice Kho, Saidah Suwadi, Mark A. Will, Mark Apperley
Visualizing the New Zealand Cyber Security Challenge for Attack Behaviors. TrustCom/BigDataSE/ICESS (2017)
Sam Shute, Ryan K. L. Ko, Sivadon Chaisiri
Attribution Using Keyboard Row Based Behavioural Biometrics for Handedness Recognition. TrustCom/BigDataSE/ICESS (2017)
Mark A. Will, Ryan K. L. Ko, Silvino J. Schlickmann
Anonymous Data Sharing Between Organisations with Elliptic Curve Cryptography. TrustCom/BigDataSE/ICESS (2017)
Mark A. Will, Ryan K. L. Ko
Secure FPGA as a Service - Towards Secure Data Processing by Physicalizing the Cloud. TrustCom/BigDataSE/ICESS (2017)
Lan Liu, Ryan K. L. Ko, Guangming Ren, Xiaoping Xu
Malware Propagation and Prevention Model for Time-Varying Community Networks within Software Defined Networks. Secur. Commun. Networks 2017 (2017)
Craig Scoon, Ryan K. L. Ko
The Data Privacy Matrix Project: Towards a Global Alignment of Data Privacy Laws. Trustcom/BigDataSE/ISPA (2016)
Jeffery Garae, Ryan K. L. Ko, Sivadon Chaisiri
UVisP: User-centric Visualization of Data Provenance with Gestalt Principles. Trustcom/BigDataSE/ISPA (2016)
Mark A. Will, Ryan K. L. Ko
Computing Mod with a Variable Lookup Table. SSCC (2016)
Sivadon Chaisiri, Ryan K. L. Ko
From Reactionary to Proactive Security: Context-Aware Security Policy Management and Optimization under Uncertainty. Trustcom/BigDataSE/ISPA (2016)
Mark A. Will, Ryan K. L. Ko, Ian H. Witten
Privacy Preserving Computation by Fragmenting Individual Bits and Distributing Gates. Trustcom/BigDataSE/ISPA (2016)
Shaun Stricot-Tarboton, Sivadon Chaisiri, Ryan K. L. Ko
Taxonomy of Man-in-the-Middle Attacks on HTTPS. Trustcom/BigDataSE/ISPA (2016)
Mark A. Will, Brandon Nicholson, Marc Tiehuis, Ryan K. L. Ko
Secure Voting in the Cloud Using Homomorphic Encryption and Mobile Agents. ICCCRI (2015)
Ryan K. L. Ko, Giovanni Russello, Richard Nelson, Shaoning Pang, Aloysius Cheang, Gillian Dobbie, Abdolhossein Sarrafzadeh, Sivadon Chaisiri, Muhammad Rizwan Asghar, Geoffrey Holmes
STRATUS: Towards Returning Data Control to Cloud Users. ICA3PP (Workshops and Symposiums) (2015)
Sivadon Chaisiri, Ryan K. L. Ko, Dusit Niyato
A Joint Optimization Approach to Security-as-a-Service Allocation and Cyber Insurance Management. TrustCom/BigDataSE/ISPA (1) (2015)
Mark A. Will, Ryan K. L. Ko, Ian H. Witten
Bin Encoding: A User-Centric Secure Full-Text Searching Scheme for the Cloud. TrustCom/BigDataSE/ISPA (1) (2015)
Baden Delamore, Ryan K. L. Ko
A Global, Empirical Analysis of the Shellshock Vulnerability in Web Applications. TrustCom/BigDataSE/ISPA (1) (2015)
Mohammad M. Bany Taha, Sivadon Chaisiri, Ryan K. L. Ko
Trusted Tamper-Evident Data Provenance. TrustCom/BigDataSE/ISPA (1) (2015)
Raja Naeem Akram, Ryan K. L. Ko
End-to-End Secure and Privacy Preserving Mobile Chat Application. WISTP (2014)
Raja Naeem Akram, Ryan K. L. Ko
Unified Model for Data Security - A Position Paper. TrustCom (2014)
Nick Papanikolaou, Siani Pearson, Marco Casassa Mont, Ryan K. L. Ko
A toolkit for automating compliance in cloud computing services. Int. J. Cloud Comput. 3 (1) (2014)
Baden Delamore, Ryan K. L. Ko
Escrow: A Large-Scale Web Vulnerability Assessment Tool. TrustCom (2014)
Ryan K. L. Ko, Mark A. Will
Progger: An Efficient, Tamper-Evident Kernel-Space Logger for Cloud Data Provenance Tracking. IEEE CLOUD (2014)
Raja Naeem Akram, Ryan K. L. Ko
Digital Trust - Trusted Computing and Beyond: A Position Paper. TrustCom (2014)
Ryan K. L. Ko, Markus Kirchberg, Bu-Sung Lee
Special issue on trust and security in cloud computing. Secur. Commun. Networks 7 (11) (2014)
Raja Naeem Akram, Ryan K. L. Ko, Tsz Fung Law
Consumer-centric protection for online social networks. IRI (2014)
Mark A. Will, Ryan K. L. Ko
Computing Mod Without Mod. IACR Cryptol. ePrint Arch. 2014 (2014)
Yulei Wu, Ryan K. L. Ko, Ahmed Yassin Al-Dubai
Special Issue on Advances in Trust, Security and Privacy for Wireless and Mobile Networks. Wirel. Pers. Commun. 75 (3) (2014)
Chun Hui Suen, Ryan K. L. Ko, Yu Shyang Tan, Peter Jagadpramana, Bu-Sung Lee
S2Logger: End-to-End Data Tracking Mechanism for Cloud Data Provenance. TrustCom/ISPA/IUCC (2013)
Yu Shyang Tan, Ryan K. L. Ko, Geoff Holmes
Security and Data Accountability in Distributed Systems: A Provenance Survey. HPCC/EUC (2013)
Ryan K. L. Ko, Markus Kirchberg, Bu-Sung Lee, Elroy Chew
Overcoming Large Data Transfer Bottlenecks in RESTful Service Orchestrations. ICWS (2012)
Ryan K. L. Ko, Eng Wah Lee, Stephen Siang Guan Lee
Business-OWL (BOWL) - A Hierarchical Task Network Ontology for Dynamic Business Process Decomposition and Formulation. IEEE Trans. Serv. Comput. 5 (2) (2012)
Yu Shyang Tan, Ryan K. L. Ko, Peter Jagadpramana, Chun Hui Suen, Markus Kirchberg, Teck Hooi Lim, Bu-Sung Lee, Anurag Singla, Ken Mermoud, Doron Keller, Ha Duc
Tracking of Data Leaving the Cloud. TrustCom (2012)
Markus Kirchberg, Erwin Leonardi, Yu Shyang Tan, Sebastian Link, Ryan K. L. Ko, Bu-Sung Lee
Formal Concept Discovery in Semantic Web Data. ICFCA (2012)
Nick Papanikolaou, Siani Pearson, Marco Casassa Mont, Ryan K. L. Ko
Automating Compliance for Cloud Computing Services. CLOSER (2012)
Olive Qing Zhang, Ryan K. L. Ko, Markus Kirchberg, Chun Hui Suen, Peter Jagadpramana, Bu-Sung Lee
How to Track Your Data: Rule-Based Data Provenance Tracing Algorithms. TrustCom (2012)
Markus Kirchberg, Ryan K. L. Ko, Bu-Sung Lee
From Linked Data to Relevant Data -- Time is the Essence CoRR (2011)
Ryan K. L. Ko, Peter Jagadpramana, Miranda Mowbray, Siani Pearson, Markus Kirchberg, Qianhui Liang, Bu-Sung Lee
TrustCloud: A Framework for Accountability and Trust in Cloud Computing. SERVICES (2011)
Olive Qing Zhang, Markus Kirchberg, Ryan K. L. Ko, Bu-Sung Lee
How to Track Your Data: The Case for Cloud Computing Provenance. CloudCom (2011)
Ryan K. L. Ko, Bu-Sung Lee, Siani Pearson
Towards Achieving Accountability, Auditability and Trust in Cloud Computing. ACC (4) (2011)
Ryan K. L. Ko, Peter Jagadpramana, Bu-Sung Lee
Flogger: A File-Centric Logger for Monitoring File Access and Transfers within Cloud Computing Environments. TrustCom (2011)
Ryan K. L. Ko
Cloud computing in plain English. ACM Crossroads 16 (3) (2010)
Ryan K. L. Ko, Andre Jusuf, Stephen Siang Guan Lee
Genesis. SERVICES I (2009)
Ryan K. L. Ko, Stephen Siang Guan Lee, Eng Wah Lee
Business process management (BPM) standards: a survey. Bus. Process. Manag. J. 15 (5) (2009)
Ryan K. L. Ko, Stephen Siang Guan Lee, Eng Wah Lee, Andre Jusuf
Dynamic Collaborative Business Process Formulation via Ontologised Hierarchical Task Network (HTN) Planning. ICWS (2009)
Ryan K. L. Ko
A computer scientist's introductory guide to business process management (BPM). ACM Crossroads 15 (4) (2009)