Learning-Guided Network Fuzzing for Testing Cyber-Physical System
Defences

Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences

12 September 2019

Christopher M. Poskitt

Jun Sun

Fan Zhang

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Papers citing "Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences"

8 / 8 papers shown

Title
Assessing the Effectiveness of Attack Detection at a Hackfest on Industrial Control Systems Sridhar Adepu A. Mathur 27 32 0 13 Sep 2018
Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks Moshe Kravchik A. Shabtai 70 274 0 21 Jun 2018
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning Zecheng He Aswin Raghavan Guangyuan Hu S. Chai Ruby B. Lee 45 4 0 18 Jun 2018
Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System Yuqi Chen Christopher M. Poskitt Jun Sun 52 123 0 03 Jan 2018
Toward `verifying' a Water Treatment System Jingyi Wang Jun Sun Yifan Jia S. Qin Zhiwu Xu 34 7 0 12 Dec 2017
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning Jun Inoue Yoriyuki Yamagata Yuqi Chen Christopher M. Poskitt Jun Sun 65 254 0 15 Sep 2017
A Formal Approach to Cyber-Physical Attacks R. Lanotte Massimo Merro R. Muradore Luca Vigano AI4CE 25 47 0 04 Nov 2016
Towards Learning and Verifying Invariants of Cyber-Physical Systems by Code Mutation Yuqi Chen Christopher M. Poskitt Jun Sun 55 24 0 06 Sep 2016