A systematic survey of attack detection and prevention in connected and autonomous vehicles

T Limbasiya, KZ Teng, S Chattopadhyay… - Vehicular …, 2022 - Elsevier
The number of Connected and Autonomous Vehicles (CAVs) is increasing rapidly in various
smart transportation services and applications, considering many benefits to society, people …

A survey of protocol fuzzing

X Zhang, C Zhang, X Li, Z Du, B Mao, Y Li… - ACM Computing …, 2024 - dl.acm.org
Communication protocols form the bedrock of our interconnected world, yet vulnerabilities
within their implementations pose significant security threats. Recent developments have …

{AFL++}: Combining incremental steps of fuzzing research

A Fioraldi, D Maier, H Eißfeldt, M Heuse - 14th USENIX Workshop on …, 2020 - usenix.org
In this paper, we present AFL++, a community-driven open-source tool that incorporates
state-of-the-art fuzzing research, to make the research comparable, reproducible …

[PDF][PDF] Large language model guided protocol fuzzing

R Meng, M Mirchev, M Böhme… - Proceedings of the …, 2024 - ndss-symposium.org
How to find security flaws in a protocol implementation without a machine-readable
specification of the protocol? Facing the internet, protocol implementations are particularly …

AFLNet: a greybox fuzzer for network protocols

VT Pham, M Böhme… - 2020 IEEE 13th …, 2020 - ieeexplore.ieee.org
Server fuzzing is difficult. Unlike simple command-line tools, servers feature a massive state
space that can be traversed effectively only with well-defined sequences of input messages …

Libafl: A framework to build modular and reusable fuzzers

A Fioraldi, DC Maier, D Zhang, D Balzarotti - Proceedings of the 2022 …, 2022 - dl.acm.org
The release of AFL marked an important milestone in the area of software security testing,
revitalizing fuzzing as a major research topic and spurring a large number of research …

On the reliability of coverage-based fuzzer benchmarking

M Böhme, L Szekeres, J Metzman - Proceedings of the 44th International …, 2022 - dl.acm.org
Given a program where none of our fuzzers finds any bugs, how do we know which fuzzer is
better? In practice, we often look to code coverage as a proxy measure of fuzzer …

Snipuzz: Black-box fuzzing of iot firmware via message snippet inference

X Feng, R Sun, X Zhu, M Xue, S Wen, D Liu… - Proceedings of the …, 2021 - dl.acm.org
The proliferation of Internet of Things (IoT) devices has made people's lives more
convenient, but it has also raised many security concerns. Due to the difficulty of obtaining …

{EcoFuzz}: Adaptive {Energy-Saving} greybox fuzzing as a variant of the adversarial {Multi-Armed} bandit

T Yue, P Wang, Y Tang, E Wang, B Yu, K Lu… - 29th USENIX Security …, 2020 - usenix.org
Fuzzing is one of the most effective approaches for identifying security vulnerabilities. As a
state-of-the-art coverage-based greybox fuzzer, AFL is a highly effective and widely used …

Ijon: Exploring deep state spaces via fuzzing

C Aschermann, S Schumilo, A Abbasi… - 2020 IEEE Symposium …, 2020 - ieeexplore.ieee.org
Although current fuzz testing (fuzzing) methods are highly effective, there are still many
situations such as complex state machines where fully automated approaches fail. State-of …