A systematic review of fuzzing based on machine learning techniques

Y Wang, P Jia, L Liu, C Huang, Z Liu - PloS one, 2020 - journals.plos.org
Security vulnerabilities play a vital role in network security system. Fuzzing technology is
widely used as a vulnerability discovery technology to reduce damage in advance …

Embedded fuzzing: a review of challenges, tools, and solutions

M Eisele, M Maugeri, R Shriwas, C Huth, G Bella - Cybersecurity, 2022 - Springer
Fuzzing has become one of the best-established methods to uncover software bugs.
Meanwhile, the market of embedded systems, which binds the software execution tightly to …

Weaknesses in LLM-Generated Code for Embedded Systems Networking

M Dunne, K Schram… - 2024 IEEE 24th …, 2024 - ieeexplore.ieee.org
Modern firmware development is done in a fast-paced, time-constrained environment. This
pressure tempts developers to use generative AI to write code for them to save time. While …

Powertrace-based fuzzing of CAN connected hardware

M Dunne, S Fischmeister - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
Modern cyber-physical systems require a thorough security evaluation before they are
exposed to the public. Fuzzing is a conventional security analysis technique typically …

Exploring Power Side-Channel Challenges in Embedded Systems Security

P Narimani, M Wang, U Planta, A Abbasi - arXiv preprint arXiv:2410.11563, 2024 - arxiv.org
Power side-channel (PSC) attacks are widely used in embedded microcontrollers,
particularly in cryptographic applications, to extract sensitive information. However …

Fuzz Wars: The Voltage Awakens–Voltage-Guided Blackbox Fuzzing on FPGAs

K Su, M Giraud, A Borcherding… - 2024 IEEE 42nd …, 2024 - ieeexplore.ieee.org
The growing complexity and size of hardware designs necessitates novel, scalable
approaches to verification, as latent bugs and security flaws have devastating impact. This is …

Network Fuzzing: State of the art

RA Mantu, M Chiroiu, N Tăpus - 2023 24th International …, 2023 - ieeexplore.ieee.org
As fuzzing has seen increased interest not only in academia but also in industry settings,
algorithmic advancements have become increasingly difficult to obtain. Moreover, the …

[PDF][PDF] Side Channel Monitoring for Fuzz Testing of Future Mobility Systems

P Fuxen, M Hachani, J Schmidt… - CLOUD COMPUTING …, 2023 - researchgate.net
The current transformation in the automotive industry is leading to new technologies with a
higher software content, a higher degree of networking, and connections to cloud services …

Applying machine learning techniques for improving test input generation in embedded fuzzers

J Stuby - 2024 - elib.uni-stuttgart.de
In the rapidly evolving landscape of the Internet of Things (IoT), the number of connected
devices is growing exponentially. This growth is accompanied by an increasing demand to …

[PDF][PDF] Use of Accessible Information to Improve Industrial Security Testing

A Borcherding - 2024 - d-nb.info
Since the discovery of the Stuxnet cyber attack that damaged several nuclear centrifuges in
2010, it has become evident that industrial control and automation systems are increasingly …