Yi Han

Reinforcement learning for autonomous defence in software-defined networking

Y Han, BIP Rubinstein, T Abraham, T Alpcan, O De Vel, S Erfani, D Hubczenko, C Leckie, P Montague

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© 2018, Springer Nature Switzerland AG. Despite the successful application of machine learning (ML) in a wide range of domains, ad..

Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks

Y Han, B Rubinstein

Conference Proceedings  |  2018

Despite the widespread use of machine learning in adversarial settings such as computer security, recent studies have demonstrated..

Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing

Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie

Journal article  |  2017  |  IEEE Transactions on Dependable and Secure Computing

A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning

Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie, Benjamin IP Rubinstein

Journal article  |  2016  |  IEEE Transactions on Information Forensics and Security

Virtual Machine Allocation Policies against Co-resident Attacks in Cloud Computing

Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie

Conference Proceedings  |  2014  |  2014 IEEE International Conference on Communications

Security games for virtual machine allocation in cloud computing

Y Han, T Alpcan, J Chan, C Leckie

Conference Proceedings  |  2013  |  Decision and Game Theory for Security

Analysing Virtual Machine Usage in Cloud Computing

Y HAN, JK Chan, CA Leckie

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE Ninth World Congress on Services