Acknowledgement
2024년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임(No.2020-0-01840, 스마트폰의 내부데이터 접근 및 보호 기술 분석)
References
- Jung, Jinho, et al. "Fuzzification:{Anti-Fuzzing} techniques." 28th USENIX Security Symposium (USENIX Security 19).2019.
- Guler, Emre, et al. "{AntiFuzz}: Impeding Fuzzing Audits of Binary Executables." 28th USENIX Security Symposium (USENIX Security 19).
- Yun, Insu, et al. "{QSYM}: A practical concolic execution engine tailored for hybrid fuzzing." 27th USENIX Security Symposium (USENIX Security 18). 2018.
- Li, Yuekang, et al. "Steelix: program-state based binary fuzzing." Proceedings of the 2017 11th joint meeting on foundations of software engineering. 2017.
- She, Dongdong, et al. "Neuzz: Efficient fuzzing with neural program smoothing." 2019 IEEE Symposium on Security and Privacy (SP). IEEE, 2019.