Results 1 to 10 of about 432 (243)
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 +5 more sources
Exploratory Review of Hybrid Fuzzing for Automated Vulnerability Detection [PDF]
IEEE Access, 2021 Recently, software testing has become a significant component of information security. The most reliable technique for automated software testing is a fuzzing tool that feeds programs with random test-input and detects software vulnerabilities that are ...
Fayozbek Rustamov +3 more
doaj +4 more sources
Probabilistic Path Prioritization for Hybrid Fuzzing [PDF]
IEEE Transactions on Dependable and Secure Computing, 2022 Hybrid fuzzing that combines fuzzing and concolic execution has become an advanced technique for software vulnerability detection. Based on the observation that fuzzing and concolic execution are complementary in nature, state-of-the-art hybrid fuzzing systems deploy “optimal concolic testing” and “demand launch” strategies.
Lei Zhao, Pengcheng Cao, Heng Yin
exaly +6 more sources
SHFuzz: Selective Hybrid Fuzzing with Branch Scheduling Based on Binary Instrumentation [PDF]
Applied Sciences, 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 +4 more
doaj +4 more sources
Sydr-Fuzz: Continuous Hybrid Fuzzing and Dynamic Analysis for Security Development Lifecycle [PDF]
2022 Ivannikov Ispras Open Conference (ISPRAS), 2022 Nowadays automated dynamic analysis frameworks for continuous testing are in high demand to ensure software safety and satisfy the security development lifecycle (SDL) requirements. The security bug hunting efficiency of cutting-edge hybrid fuzzing techniques outperforms widely utilized coverage-guided fuzzing.
Alexey Vishnyakov, Andrey Fedotov
exaly +4 more sources
LLVM-based Hybrid Fuzzing with LibKluzzer (Competition Contribution) [PDF]
Lecture Notes in Computer Science, 2020 LibKluzzer is a novel implementation of hybrid fuzzing, which combines the strengths of coverage-guided fuzzing and dynamic symbolic execution (a.k.a. whitebox fuzzing). While coverage-guided fuzzing can discover new execution paths at nearly native speed, whitebox fuzzing is capable of getting through complex branch conditions. In contrast to existing
Hoang M Le
exaly +4 more sources
Pangolin: Incremental Hybrid Fuzzing with Polyhedral Path Abstraction [PDF]
2020 IEEE Symposium on Security and Privacy (SP), 2020 Hybrid fuzzing, which combines the merits of both fuzzing and concolic execution, has become one of the most important trends in coverage-guided fuzzing techniques. Despite the tremendous research on hybrid fuzzers, we observe that existing techniques are still inefficient.
Heqing Huang, Peisen Yao, Rongxin Wu
exaly +4 more sources
Grammar-aware test case trimming for efficient hybrid fuzzing
Journal of King Saud University: Computer and Information SciencesIn recent years, hybrid fuzzing has garnered significant attention by combining the benefits of both fuzzing and concolic execution. However, existing hybrid fuzzing techniques face problems such as the performance overhead of concolic execution and low ...
Yiru Zhao, Long Gao, Qihan Wan, Lei Zhao
doaj +4 more sources
Relational Modelling for Automotive Cybersecurity: Structural Transition and Graph-Topology-Based CAN Intrusion Detection [PDF]
SensorsA central open question in automotive intrusion detection is not merely whether relational representations of Controller Area Network (CAN) traffic improve performance, but which aspects of CAN traffic structure transfer robustly across attacks and which
Mohammad Khalaf Khreasat +1 more
doaj +2 more sources
HyperGo: Probability-based directed hybrid fuzzing
Computers and SecurityDirected grey-box fuzzing (DGF) is a target-guided fuzzing intended for testing specific targets (e.g., the potential buggy code). Despite numerous techniques proposed to enhance directedness, the existing DGF techniques still face challenges, such as taking into account the difficulty of reaching different basic blocks when designing the fitness ...
Peihong Lin, Pengfei Wang, Kai Lu
exaly +3 more sources