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

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

12 September 2019
Yuqi Chen
Christopher M. Poskitt
Jun Sun
Sridhar Adepu
Fan Zhang
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Title
ICCPS: Impact discovery using causal inference for cyber attacks in CPSs
ICCPS: Impact discovery using causal inference for cyber attacks in CPSs
R. Maiti
Sridhar Adepu
Emil C. Lupu
53
1
0
26 Jul 2023
Towards Comprehensively Understanding the Run-time Security of
  Programmable Logic Controllers: A 3-year Empirical Study
Towards Comprehensively Understanding the Run-time Security of Programmable Logic Controllers: A 3-year Empirical Study
Rongkuan Ma
Qiang Wei
Jingyi Wang
Shunkai Zhu
S. Ji
Peng Cheng
Yan Jia
Qingxian Wang
26
3
0
29 Dec 2022
Learning Failure-Inducing Models for Testing Software-Defined Networks
Learning Failure-Inducing Models for Testing Software-Defined Networks
Raphaël Ollando
Seung Yeob Shin
Lionel C. Briand
57
1
0
27 Oct 2022
Identifying Near-Optimal Single-Shot Attacks on ICSs with Limited
  Process Knowledge
Identifying Near-Optimal Single-Shot Attacks on ICSs with Limited Process Knowledge
Herson Esquivel-Vargas
J. H. Castellanos
M. Caselli
Nils Ole Tippenhauer
Andreas Peter
AAML
47
3
0
19 Apr 2022
Control Parameters Considered Harmful: Detecting Range Specification
  Bugs in Drone Configuration Modules via Learning-Guided Search
Control Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search
Ruidong Han
Chao Yang
Siqi Ma
Jianfeng Ma
Cong Sun
Juanru Li
E. Bertino
64
25
0
07 Dec 2021
Code Integrity Attestation for PLCs using Black Box Neural Network
  Predictions
Code Integrity Attestation for PLCs using Black Box Neural Network Predictions
Yuqi Chen
Christopher M. Poskitt
Jun Sun
AAML
55
10
0
15 Jun 2021
Adversarial Attacks and Mitigation for Anomaly Detectors of
  Cyber-Physical Systems
Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems
Yifan Jia
Jingyi Wang
Christopher M. Poskitt
Sudipta Chattopadhyay
Jun Sun
Yuqi Chen
AAML
75
29
0
22 May 2021
System Component-Level Self-Adaptations for Security via Bayesian Games
System Component-Level Self-Adaptations for Security via Bayesian Games
Mingyue Zhang
AAML
34
1
0
12 Mar 2021
Rule-based Anomaly Detection for Railway Signalling Networks
Rule-based Anomaly Detection for Railway Signalling Networks
Markus Heinrich
Arwed Gölz
T. Arul
Stefan Katzenbeisser
AAML
24
11
0
12 Aug 2020
Towards Systematically Deriving Defence Mechanisms from Functional
  Requirements of Cyber-Physical Systems
Towards Systematically Deriving Defence Mechanisms from Functional Requirements of Cyber-Physical Systems
Cheah Huei Yoong
Venkata Reddy Palleti
Arlindo Silva
Christopher M. Poskitt
34
4
0
07 Jul 2020
Active Fuzzing for Testing and Securing Cyber-Physical Systems
Active Fuzzing for Testing and Securing Cyber-Physical Systems
Yuqi Chen
Bohan Xuan
Christopher M. Poskitt
Jun Sun
Fan Zhang
62
25
0
28 May 2020
A systematic review of fuzzing based on machine learning techniques
A systematic review of fuzzing based on machine learning techniques
Yan Wang
Peng Jia
Luping Liu
Jiayong Liu
60
72
0
04 Aug 2019
1