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Learning-guided network fuzzing for testing cyber-physical system defences
The threat of attack faced by cyber-physical systems (CPSs), especially when they play a
critical role in automating public infrastructure, has motivated research into a wide variety of …
critical role in automating public infrastructure, has motivated research into a wide variety of …
SLEMI: Equivalence modulo input (EMI) based mutation of CPS models for finding compiler bugs in Simulink
Finding bugs in commercial cyber-physical system development tools (or" model-based
design" tools) such as MathWorks's Simulink is important in practice, as these tools are …
design" tools) such as MathWorks's Simulink is important in practice, as these tools are …
Automatically finding bugs in a commercial cyber-physical system development tool chain with SLforge
Cyber-physical system (CPS) development tool chains are widely used in the design,
simulation, and verification of CPS data-flow models. Commercial CPS tool chains such as …
simulation, and verification of CPS data-flow models. Commercial CPS tool chains such as …
Will dependency conflicts affect my program's semantics?
Java projects are often built on top of various third-party libraries. If multiple versions of a
library exist on the classpath, JVM will only load one version and shadow the others, which …
library exist on the classpath, JVM will only load one version and shadow the others, which …
Active fuzzing for testing and securing cyber-physical systems
Cyber-physical systems (CPSs) in critical infrastructure face a pervasive threat from
attackers, motivating research into a variety of countermeasures for securing them …
attackers, motivating research into a variety of countermeasures for securing them …
Mofuzz: A fuzzer suite for testing model-driven software engineering tools
Fuzzing or fuzz testing is an established technique that aims to discover unexpected
program behavior (eg, bugs, security vulnerabilities, or crashes) by feeding automatically …
program behavior (eg, bugs, security vulnerabilities, or crashes) by feeding automatically …
Figcps: Effective failure-inducing input generation for cyber-physical systems with deep reinforcement learning
Cyber-Physical Systems (CPSs) are composed of computational control logic and physical
processes, which intertwine with each other. CPSs are widely used in various domains of …
processes, which intertwine with each other. CPSs are widely used in various domains of …
[PDF][PDF] DeepFuzzSL: Generating models with deep learning to find bugs in the Simulink toolchain
Testing cyber-physical system (CPS) development tools such as MathWorks' Simulink is
very important as they are widely used in design, simulation, and verification of CPS models …
very important as they are widely used in design, simulation, and verification of CPS models …
Simulink Compiler Testing via Configuration Diversification With Reinforcement Learning
X Li, S Guo, H Cheng, H Jiang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Simulink compiler testing is important since all cyber-physical system (CPS) models are
required to be compiled by Simulink compiler. Current testing processes use CPS models …
required to be compiled by Simulink compiler. Current testing processes use CPS models …
PCBSmith: An Effective Schematic Generator for Testing PCB Design Tool Chain
X Zhao, H Jiang, X Li, S Guo, Z Ren… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
In electronic design automation (EDA), printed circuit board (PCB) design plays a crucial
role. Ensuring the reliability of the PCB design tool chain is essential, as bugs in the tool …
role. Ensuring the reliability of the PCB design tool chain is essential, as bugs in the tool …