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 this field.doi:10.1016/j.cose.2018.02.002Chen, Chen...
URL https://doi.org/10.1016/j.cose.2018.02.002 rt
A systematic review of fuzzing techniques Fuzzing is an effective and widely used technique for finding security bugs and vulnerabilities in software. It inputs irregular test data into a target pr... C Chen,B Cui,J Ma,... - 《Computers & Security》 被引量: 4发表: 2018年 A systematic ...
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?
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
In this section, we review the techniques most relevant to this work, including the TEE architecture, fuzzing techniques, and fuzzing for TEE. The teefuzzer overview In this paper, we propose a fuzzing framework for TEE systems [42], as shown in Fig. 2. Since it is impossible to install...
A systematic review of fuzzing based on machine learning techniques Wang, Yan, Peng Jia, Luping Liu, Cheng Huang和Zhonglin Liu. 《A Systematic Review of Fuzzing Based on Machine Learning Techniques》. 编辑... 妨碍开发人员获得高性能的三种行为!
Fuzzing, an effective vulnerability detection technique, has recently been widely applied to smart contracts. Despite numerous studies, a systematic investigation of smart contract fuzzing techniques remains lacking. In this paper, we fill this gap by: 1) providing a comprehensive review of current ...
Understanding Programs by Exploiting (Fuzzing) Test Cases(2023), arXiv, Zhao, Jianyu; Rong, Yuyang; Guo, Yiwen; He, Yifeng; Chen, Hao. Understanding the effectiveness of large language models in code translation(2023), ICSE, Pan, Rangeet; Ibrahimzada, Ali Reza; Krishna, Rahul; Sankar, Div...