Results 11 to 20 of about 258 (214)
Measuring Method for Fuzz Mass of Carbon Fiber Tow
Cailiao gongcheng, 2017 In order to quantitatively test fuzz degree of carbon fiber (CF) tow, a measuring method for fuzz mass of CF tow was developed, and the testing device was built.
LI Tan +4 more
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Practical Anti-Fuzzing Techniques With Performance Optimization
IEEE Open Journal of the Computer Society, 2023 Fuzzing, an automated software testing technique, has achieved remarkable success in recent years, aiding developers in identifying vulnerabilities. However, fuzzing can also be exploited by attackers to discover zero-day vulnerabilities. To counter this
Zhengxiang Zhou, Cong Wang
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A systematic review of fuzzing based on machine learning techniques.
PLoS ONE, 2020 Security vulnerabilities play a vital role in network security system. Fuzzing technology is widely used as a vulnerability discovery technology to reduce damage in advance.
Yan Wang +4 more
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Solution for Environment Interaction Problem in Whitebox Fuzz Testing [PDF]
Jisuanji gongcheng, 2020 To address the environment interaction problem in whitebox fuzz testing,this paper proposes a hidden path search scheme HPSBEF based on external function detection and correction.In the proposed scheme,constraint solving is used to obtain the output ...
ZHANG Wanying, CAO Xiaomei, CHEN Wei
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Dynamic Analysis Based Fuzz Testing for Memory Safety Vulnerabilities [PDF]
Jisuanji kexueSystems written in C often contain potential memory vulnerabilities.Fuzz testing integrated with dynamic analysis tools can uncover memory vulnerabilities but introduce significant performance overhead.Meanwhile,current popular fuzz testing me-thods ...
YIN Jiale, CHEN Zhe
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PyFuzzer：automatic in-memory fuzz testing method
Tongxin xuebao, 2013 Fuzz Testing is an effective method to mine all kinds of vulnerabilities.But the main drawbacks to current fuzz testing tools are:firstly,it produces high volume testing data and it’s extraordinary time consumption; secondly,if the accessing needs ...
Wei-ming LI, Jun-qing YU, Shao-bo AI
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CFGuide-Fuzz: Dynamic Fuzz Testing Framework Based on Control Flow Features
MathematicsRTL-level fuzz testing is critical for identifying vulnerabilities in hardware designs. However, existing hardware fuzz testing methods suffer from slow coverage improvement and blind exploration due to the lack of fine-grained control flow guidance.
Yajun Gao, Wei Zheng, Xiaoxue Wu
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Systematic Fuzz Testing Techniques on a Nanosatellite Flight Software for Agile Mission Development
IEEE Access, 2021 The success of CubeSat space missions depends on the ability to perform properly in a harsh environment. A key component in space missions is the flight software, which manages all of the processes executed by the satellite on its onboard computer ...
Tamara Gutierrez +4 more
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A Control Flow Graph Optimization Method for Enhancing Fuzz Testing
IEEE AccessThe American Fuzzy Lop (AFL) is a tool that automatically generates random data to expose vulnerabilities in software programs. However, it has some drawbacks, such as the lack of visibility in test case generation and suboptimal allocation of test case ...
He Yuan +3 more
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A Seed Scheduling Method With a Reinforcement Learning for a Coverage Guided Fuzzing
IEEE Access, 2023 Seed scheduling, which determines which seed is input to the fuzzer first and the number of mutated test cases that are generated for the input seed, significantly influences crash detection performance in fuzz testing.
Gyeongtaek Choi +3 more
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