DAFuzz: data-aware fuzzing of in-memory data stores [PDF]
PeerJ Computer Science, 2023 Fuzzing has become an important method for finding vulnerabilities in software. For fuzzing programs expecting structural inputs, syntactic- and semantic-aware fuzzing approaches have been particularly proposed.
Yingpei Zeng +7 more
doaj +3 more sources
Efficient ECU Analysis Technology Through Structure-Aware CAN Fuzzing
IEEE Access, 2022 Modern vehicles are equipped with a number of electronic control units (ECUs), which control vehicles efficiently by communicating with each other through the controller area network (CAN).
Hyunghoon Kim +2 more
exaly +3 more sources
Optimizing IoT Web Fuzzing by Firmware Infomation Mining
Applied Sciences (Switzerland), 2022 IoT web fuzzing is an effective way to detect security flaws in IoT devices. However, without enough information of the tested targets, IoT web fuzzing is often blind and inefficient.
Yifei Gao, Enze Wang, Zhenhua Wang
exaly +3 more sources
An Intelligent Fuzzing Data Generation Method Based on Deep Adversarial Learning
IEEE Access, 2019 Fuzzing (Fuzz testing) can effectively identify security vulnerabilities in software by providing a large amount of unexpected input to the target program. An important part of fuzzing test is the fuzzing data generation.
Zhihui Li, Jianqi Shi, Yanhong Huang
exaly +3 more sources
Hybrid feature-based machine vision method for objective evaluation of textile pilling and fuzzing. [PDF]
PLoS ONEThe degree of pilling and fuzzing in textile fabrics is a crucial indicator of textile product quality. Current evaluation methods predominantly rely on subjective judgments, leading to issues such as rating errors and inefficiency.
Qingchun Jiao +3 more
doaj +2 more sources
SHFuzz: Selective Hybrid Fuzzing with Branch Scheduling Based on Binary Instrumentation
Applied Sciences (Switzerland), 2020 Hybrid fuzzing is a popular software testing technique that combines random fuzzing with concolic execution. It is widely used in the security domain known for its ability to find deeply hidden vulnerabilities and reach high code coverage. Hybrid fuzzing
Xianya Mi +2 more
exaly +3 more sources
Automatically Seed Corpus and Fuzzing Executables Generation Using Test Framework
IEEE Access, 2022 Fuzzing is widely utilized as a practical test method to determine unknown vulnerabilities in software. Although fuzzing shows excellent results for code coverage and crash count, it is not easy to apply these effects to library fuzzing. A library cannot
Sanghoon Jeon +3 more
doaj +1 more source
Guided Grey-Box Fuzzing Test Method Combining Distance and Weight [PDF]
Jisuanji gongcheng, 2021 Guided grey-box fuzzing test is a technique that can quickly test a specified location of a program.By analyzing the problem that the existing guided grey-box fuzzing test techniques are not accurate enough in guidance, this paper proposes a guided grey ...
LI Minglei, LU Yuliang, HUANG Hui, ZHU Kailong
doaj +1 more source
Testcase Filtering Method Based on QRNN for Network Protocol Fuzzing [PDF]
Jisuanji kexue, 2022 At present,targets of network protocol fuzzing tend to be large protocol entities,and traditional testcase filtering me-thods are mainly based on the running status information of the test object.The larger the test object,the longer it takes to execute ...
HU Zhi-hao, PAN Zu-lie
doaj +1 more source
PGNFuzz:Pointer Generation Network Based Fuzzing Framework for Industry Control Protocols [PDF]
Jisuanji kexue, 2022 Industrial security issues have always been an important and urgent issue globally.Industrial control protocols are widely used in the communication between industrial control system(ICS) components.Their security is related to the safe and stable ...
WANG Tian-yuan, WU Shu-hong, LI Zhao-ji, XIN Hao-guang, LI Xuan, CHEN Yong-le
doaj +1 more source