Dynamic fuzz testing of UAV configuration parameters based on dual guidance of fitness and coverage-Reference-Cited by-同舟云学术

Dynamic fuzz testing of UAV configuration parameters based on dual guidance of fitness and coverage

Published:2024-02-14 Issue:1 Volume:36 Page:
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Ma Yuexuan¹,Yu Xiao¹,Zhang Li²,Li Zhao¹,Li Yuanzhang³,Tan Yu-an³

Affiliation:

1. School of Computer Science and Technology, Shandong University of Technology, Zibo, People’s Republic of China

2. Department of Media Engineering, Communication University of Zhejiang, Hangzhou, People’s Republic of China

3. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, People’s Republic of China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2024.2312104

Reference20 articles.

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3. Bohme M. Pham V. T. Nguyen M. D. & Roychoudhury A. (2017). Directed greybox fuzzing. In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (CCS ‘17). Association for Computing Machinery New York NY USA pp. 2329–2344.

4. Chen H. Xue Y. Li Y. Chen B. Xie X. Wu X. & Liu Y. (2018). Hawkeye: Towards a desired directed grey-box fuzzer. In: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (CCS ‘18). Association for Computing Machinery New York NY USA pp. 2095–2108.

5. Chen Y. Poskitt C. M. Sun J. Adepu S. & Zhang F. (2019). Learning-Guided network fuzzing for testing cyber-physical system defences. In 34th IEEE/ACM international conference on automated software engineering (ASE) San Diego CA USA pp. 962-973.