Fuzzing: a survey for roadmap

X Zhu, S Wen, S Camtepe, Y **ang - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Fuzz testing (fuzzing) has witnessed its prosperity in detecting security flaws recently. It
generates a large number of test cases and monitors the executions for defects. Fuzzing has …

Demystify the fuzzing methods: A comprehensive survey

S Mallissery, YS Wu - ACM Computing Surveys, 2023 - dl.acm.org
Massive software applications possess complex data structures or parse complex data
structures; in such cases, vulnerabilities in the software become inevitable. The …

Gptfuzzer: Red teaming large language models with auto-generated jailbreak prompts

J Yu, X Lin, Z Yu, X **ng - arxiv preprint arxiv:2309.10253, 2023 - arxiv.org
Large language models (LLMs) have recently experienced tremendous popularity and are
widely used from casual conversations to AI-driven programming. However, despite their …

Detecting vulnerability on IoT device firmware: A survey

X Feng, X Zhu, QL Han, W Zhou… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Internet of things (IoT) devices make up 30% of all network-connected endpoints,
introducing vulnerabilities and novel attacks that make many companies as primary targets …

Sok: Prudent evaluation practices for fuzzing

M Schloegel, N Bars, N Schiller… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
Fuzzing has proven to be a highly effective approach to uncover software bugs over the past
decade. After AFL popularized the groundbreaking concept of lightweight coverage …

Fuzzing of embedded systems: A survey

J Yun, F Rustamov, J Kim, Y Shin - ACM Computing Surveys, 2022 - dl.acm.org
Security attacks abuse software vulnerabilities of IoT devices; hence, detecting and
eliminating these vulnerabilities immediately are crucial. Fuzzing is an efficient method to …

From One Thousand Pages of Specification to Unveiling Hidden Bugs: Large Language Model Assisted Fuzzing of Matter {IoT} Devices

X Ma, L Luo, Q Zeng - … USENIX Security Symposium (USENIX Security 24 …, 2024 - usenix.org
Matter is an IoT connectivity standard backed by over two hundred companies. Since the
release of its specification in October 2022, numerous IoT devices have become Matter …

StateAFL: Greybox fuzzing for stateful network servers

R Natella - Empirical Software Engineering, 2022 - Springer
Fuzzing network servers is a technical challenge, since the behavior of the target server
depends on its state over a sequence of multiple messages. Existing solutions are costly …

Llmif: Augmented large language model for fuzzing iot devices

J Wang, L Yu, X Luo - 2024 IEEE Symposium on Security and …, 2024 - ieeexplore.ieee.org
Despite the efficacy of fuzzing in verifying the implementation correctness of network
protocols, existing IoT protocol fuzzing approaches grapple with several limitations …

Bleem: Packet sequence oriented fuzzing for protocol implementations

Z Luo, J Yu, F Zuo, J Liu, Y Jiang, T Chen… - 32nd USENIX Security …, 2023 - usenix.org
Protocol implementations are essential components in network infrastructures. Flaws hidden
in the implementations can easily render devices vulnerable to adversaries. Therefore …