By introducing the principles, advantages and disadvantages of these techniques, we hope to provide researchers with a systematic and deeper understanding of fuzzing techniques and provide some references for t
URL https://doi.org/10.1016/j.cose.2018.02.002 rt
A systematic review of fuzzing techniques Comput. Secur. (2018) Arash Sabbaghi et al. A systematic review of search strategies in dynamic symbolic execution Comput. Stand. Interfaces (2020) Lynn M. Foreman et al. A study of the effectiveness of control and data flow testing strategies J. Sys...
1. Intro Why machine learning tech can be used for fuzzing? Which steps in the fuzzing have used machine learning tech? Which machine learning algo have been used for fuzzing? Which tech are used for data preprocessing of fuzzing based on machine learning? Which datasets are used for testing ...
Proj THUDBFuzz Paper Reading: A systematic review of fuzzing based on machine learning techniques 1. Intro Why machine learning tech can be used for fuzzing? Which steps in the fuzzing have used machine learning tech? Which machine learning algo have been used for fuzzing?
Chen, C., et al.: A systematic review of fuzzing techniques. en. In: Computers & Security, pp. 118–137, (2018). https://doi.org/10.1016/j.cose.2018.02.002. https://linkinghub.elsevier.com/retrieve/pii/S0167404818300658 Cho, K., et al. Learning Phrase Representations using RNN Encode...
A-systematic-review-of-fuzzing-based-on-machine-learning-techniquesSm**弥烟 上传43.31 MB 文件格式 zip A-systematic-review-of-fuzzing-based-on-machine-learning-techniques 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 node-v6.11.5-linux-armv7l.tar.xz ...
Fuzz: Traditional fuzzing techniques are effective in discovering software vulnerabilities, but their inherent limitations can affect their efficiency and effectiveness. The LLM-based approach for fuzzing is a promising area of research. Program Repair: Program repair is task-intensive and patching defects...
Fuzzing has become one of the best-established methods to uncover software bugs. Meanwhile, the market of embedded systems, which binds the software execution tightly to the very hardware architecture, has grown at a steady pace, and that pace is anticip
By balancing imperceptibility and resilience, this paper advances secure communication and digital rights management, addressing modern challenges in data hiding through an innovative combination of compression, adaptive embedding, and deep learning techniques....