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Functional correctness is critical for ensuring the reliability and security of network protocol implementations.
M. Musuvathi and D. R. Engler, “Model checking large network protocol implementations,” in NSDI . USENIX, 2004, pp. 155–168
2004
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G. Díaz, F. Cuartero, V. V. Ruiz, and F. L. Pelayo, “Automatic verification of the TLS handshake protocol,” in SAC . ACM, 2004, pp. 789–794
2004
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O. Udrea and C. Lumezanu, “Rule-based static analysis of network protocol implementations,” in USENIX Security Symposium . USENIX Association, 2006
2006
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C. Cadar, D. Dunbar, and D. R. Engler, “Klee: Unassisted and automatic generation of high-coverage tests for complex systems programs,” in Proceedings of the 8th USENIX Symposium on Operating Systems Design and Implementation , ser. OSDI ’08. USENIX, 2008, pp. 209–224. [Online]. Available: https://www.usenix.org/conference/osdi-08/klee-unassisted-and-automatic-generation-high-coverage-tests-complex-systems
2008
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P. Godefroid, M. Y. Levin, and D. Molnar, “Sage: whitebox fuzzing for security testing,” Communications of the ACM , vol. 55, no. 3, pp. 40–44, 2012
2012
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Y. Sui and J. Xue, “SVF: interprocedural static value-flow analysis in LLVM,” in Proceedings of the 25th International Conference on Compiler Construction, CC 2016, Barcelona, Spain, March 12-18, 2016 , A. Zaks and M. V. Hermenegildo, Eds. ACM, 2016, pp. 265–266
2016
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2017
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I. Yun, S. Lee, M. Xu, Y. Jang, and T. Kim, “QSYM : A practical concolic execution engine tailored for hybrid fuzzing,” in 27th USENIX Security Symposium (USENIX Security 18) . Baltimore, MD: USENIX Association, Aug. 2018, pp. 745–761. [Online]. Available: https://www.usenix.org/conference/usenixsecurity18/presentation/yun
2018
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H. Yan, Y. Sui, S. Chen, and J. Xue, “Spatio-temporal context reduction: a pointer-analysis-based static approach for detecting use-after-free vulnerabilities,” in Proceedings of the 40th International Conference on Software Engineering , ser. ICSE ’18. New York, NY, USA: Association for Computing Machinery, 2018, p. 327–337. [Online]. Available: https://doi.org/10.1145/3180155.3180178
2018
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Q. Shi, X. Xiao, R. Wu, J. Zhou, G. Fan, and C. Zhang, “Pinpoint: Fast and precise sparse value flow analysis for million lines of code,” in Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation , ser. PLDI ’18. ACM, 2018, pp. 693–706
2018
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MITRE, “Cve-2020-1472,” https://nvd.nist.gov/vuln/detail/CVE-2020-1472 , 2020
2020
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S. Poeplau and A. Francillon, “Symbolic execution with SymCC: Don’t interpret, compile!” in 29th USENIX Security Symposium (USENIX Security 20) . USENIX Association, Aug. 2020, pp. 181–198. [Online]. Available: https://www.usenix.org/conference/usenixsecurity20/presentation/poeplau
2020
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G. S. Reen and C. Rossow, “Dpifuzz: a differential fuzzing framework to detect dpi elusion strategies for quic,” in Proceedings of the 36th Annual Computer Security Applications Conference , ser. ACSAC ’20. ACM, 2020, pp. 332–344
2020
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V.-T. Pham, M. Böhme, and A. Roychoudhury, “Aflnet: a greybox fuzzer for network protocols,” in 2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST) . IEEE, 2020, pp. 460–465
2020
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R. Rutledge and A. Orso, “Automating differential testing with overapproximate symbolic execution,” in 2022 15th IEEE Conference on Software Testing, Verification and Validation , ser. ICST ’22. IEEE, 2022, pp. 256–266
2022
Cited alongside, same era.
Q. Shi, J. Shao, Y. Ye, M. Zheng, and X. Zhang, “Lifting network protocol implementation to precise format specification with security applications,” in Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security , ser. CCS ’23. ACM, 2023, p. 1287–1301
2023
Cited alongside, same era.
J. Pereyda, “Boofuzz,” https://github.com/jtpereyda/boofuzz , 2023
2023
Cited alongside, same era.
Microsoft, “Netlogon remote protocol,” https://learn.microsoft.com/en-us/openspecs/windows_protocols/ms-nrpc/ff8f970f-3e37-40f7-bd4b-af7336e4792f , 2024
2024
Cited alongside, same era.
C. Wang, J. Zhang, R. Wu, and C. Zhang, “Dainfer: Inferring API aliasing specifications from library documentation via neurosymbolic optimization,” Proc. ACM Softw. Eng. , vol. 1, no. FSE, pp. 2469–2492, 2024. [Online]. Available: https://doi.org/10.1145/3660816
2024
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C. Ye, Y. Cai, and C. Zhang, “When threads meet interrupts: Effective static detection of { \{ Interrupt-Based } \} deadlocks in linux,” in 33rd USENIX Security Symposium (USENIX Security 24) , 2024, pp. 6167–6184
2024
Later among the works it cites.
2024
Later among the works it cites.
C. Wang, W. Zhang, Z. Su, X. Xu, and X. Zhang, “Sanitizing large language models in bug detection with data-flow,” in Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024 , Y. Al-Onaizan, M. Bansal, and Y. Chen, Eds. Association for Computational Linguistics, 2024, pp. 3790–3805. [Online]. Available: https://aclanthology.org/2024.findings-emnlp.217
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P. Yao, J. Zhou, X. Xiao, Q. Shi, R. Wu, and C. Zhang, “Falcon: A fused approach to path-sensitive sparse data dependence analysis,” Proc. ACM Program. Lang. , vol. 8, no. PLDI, Jun. 2024. [Online]. Available: https://doi.org/10.1145/3656400
2024
Cited alongside, same era.
R. Meng, M. Mirchev, M. Böhme, and A. Roychoudhury, “Large language model guided protocol fuzzing,” in Proceedings of the 31st Annual Network and Distributed System Security Symposium (NDSS) , ser. NDSS ’24. The Internet Society, 2024
2024
Cited alongside, same era.
X. Ma, L. Luo, and Q. Zeng, “From one thousand pages of specification to unveiling hidden bugs: Large language model assisted fuzzing of matter iot devices,” in USENIX Security Symposium . USENIX Association, 2024
2024
Cited alongside, same era.
M. Zheng, Q. Shi, X. Liu, X. Xu, L. Yu, C. Liu, G. Wei, and X. Zhang, “Pardiff: Practical static differential analysis of network protocol parsers,” in Proc. ACM Program. Lang. , ser. OOPSLA ’24. ACM, 2024, pp. 1208–1234
2024
Cited alongside, same era.
2024
Cited alongside, same era.
Z. Lin, Z. Gou, T. Liang, R. Luo, H. Liu, and Y. Yang, “CriticBench: Benchmarking LLMs for critique-correct reasoning,” in Findings of the Association for Computational Linguistics: ACL 2024 , L.-W. Ku, A. Martins, and V. Srikumar, Eds. Bangkok, Thailand: Association for Computational Linguistics, Aug. 2024, pp. 1552–1587. [Online]. Available: https://aclanthology.org/2024.findings-acl.91/
2024
Cited alongside, same era.
Q. Wu, G. Bansal, J. Zhang, Y. Wu, B. Li, E. Zhu, L. Jiang, X. Zhang, S. Zhang, J. Liu, A. H. Awadallah, R. W. White, D. Burger, and C. Wang, “Autogen: Enabling next-gen LLM applications via multi-agent conversation,” in ICLR 2024 Workshop on Large Language Model (LLM) Agents , 2024. [Online]. Available: https://openreview.net/forum?id=uAjxFFing2
2024
Cited alongside, same era.
F. community, “The frrouting protocol suite,” https://github.com/FRRouting/frr , 2024
2024
Cited alongside, same era.
2024
Later among the works it cites.
C. Wang, W. Zhang, Z. Su, X. Xu, X. Xie, and X. Zhang, “LLMDFA: analyzing dataflow in code with large language models,” in Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024 , A. Globersons, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. M. Tomczak, and C. Zhang, Eds., 2024. [Online]. Available: http://papers.nips.cc/paper_files/paper/2024/hash/ed9dcde1eb9c597f68c1d375bbecf3fc-Abstract-Conference.html
2024
Later among the works it cites.
H. Li, Y. Hao, Y. Zhai, and Z. Qian, “Enhancing static analysis for practical bug detection: An llm-integrated approach,” Proc. ACM Program. Lang. , vol. 8, no. OOPSLA1, Apr. 2024. [Online]. Available: https://doi.org/10.1145/3649828
2024
Later among the works it cites.
M. Zheng, D. Xie, Q. Shi, C. Wang, and X. Zhang, “Validating network protocol parsers with traceable rfc document interpretation,” in Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis , ser. ISSTA 2025
2025
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2025
Closest in time.
Anthropic, “Claude 3.5 sonnet,” https://www.anthropic.com/claude/sonnet , 2025
2025
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“lwip - a lightweight tcp/ip stack,” https://github.com/lwip-tcpip/lwip , 2025
2025
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2025
Closest in time.
2025
Closest in time.