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VUzzer: Application-aware Evolutionary Fuzzing
Open accessAbstract
Author(s): Sanjay Rawat, Vivek Jain, Ashish Kumar, Lucian Cojocar, Cristiano Giuffrida, Herbert Bos Download: Paper (PDF) Date: 27 Feb 2017 Document Type: Reports Additional Documents: Video Associated Event: NDSS Symposium 2017 Abstract: Fuzzing is an effective software testing technique to find bugs. Given the size and complexity of real-world applications, modern fuzzers tend to be either scalable, … Continued
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Cited by
Böhme, M., Pham, V.-T., Nguyen, M.-D., & Roychoudhury, A. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3133956.3134020 · Cited by 747
(2021) · doi:10.1109/tse.2019.2946563 · Cited by 574
FairFuzz: a targeted mutation strategy for increasing greybox fuzz testing coverage
Lemieux, C., & Sen, K. (2018) · Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering · doi:10.1145/3238147.3238176 · Cited by 477
T-Fuzz: Fuzzing by Program Transformation
Peng, H., Shoshitaishvili, Y., & Payer, M. (2018) · 2018 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2018.00056 · Cited by 293
What You Corrupt Is Not What You Crash: Challenges in Fuzzing Embedded Devices
Muench, M., Stijohann, J., Kargl, F., Francillon, A., & Balzarotti, D. (2018) · Proceedings 2018 Network and Distributed System Security Symposium · doi:10.14722/ndss.2018.23166 · Cited by 219
Metadata
- Authors
- Rawat, S., Jain, V., Kumar, A., Cojocar, L., Giuffrida, C., & Bos, H.
- Venue
- Proceedings 2017 Network and Distributed System Security Symposium
- Publisher
- Internet Society
- Published
- 2017
- OpenAlex
- W2613534458
- Cited by
- 584
- References
- 0
- FWCI
- 52.38
- Type
- conference paper
- Language
- en
- Open access
- green
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- Rawat, S., Jain, V., Kumar, A., Cojocar, L., Giuffrida, C., & Bos, H. (2017). VUzzer: Application-aware Evolutionary Fuzzing. Proceedings 2017 Network and Distributed System Security Symposium. https://doi.org/10.14722/ndss.2017.23404
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
