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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/icse.2009.5070546openalex-snapshot
Taint-based directed whitebox fuzzing
inferredcites →https://doi.org/10.1109/sp.2010.37openalex-snapshot
TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection
inferredcites →https://doi.org/10.1109/sp.2018.00046openalex-snapshot
Angora: Efficient Fuzzing by Principled Search
inferredcites →https://doi.org/10.1145/1375581.1375607openalex-snapshot
Grammar-based whitebox fuzzing
inferredcites →https://doi.org/10.1145/1993316.1993532openalex-snapshot
Finding and understanding bugs in C compilers
inferredcites →https://doi.org/10.1145/1993498.1993532openalex-snapshot
Finding and understanding bugs in C compilers
inferredcites →https://doi.org/10.1145/2408776.2408795openalex-snapshot
Symbolic execution for software testing
inferredcites →https://doi.org/10.1145/2976749.2978428openalex-snapshot
Coverage-based Greybox Fuzzing as Markov Chain
inferredcites →https://doi.org/10.1145/3236024.3264835openalex-snapshot
DLFuzz: differential fuzzing testing of deep learning systems
inferredcites →https://doi.org/10.1145/3236024.3275524openalex-snapshot
VulSeeker-pro: enhanced semantic learning based binary vulnerability seeker with emulation
inferredcites →https://doi.org/10.1145/3236024.3275525openalex-snapshot
PAFL: extend fuzzing optimizations of single mode to industrial parallel mode
inferredcites →https://doi.org/10.1145/3238147.3238176openalex-snapshot
FairFuzz: a targeted mutation strategy for increasing greybox fuzz testing coverage
inferredcites →https://doi.org/10.1145/3338906.3340460openalex-snapshot
Industry practice of coverage-guided enterprise Linux kernel fuzzing
inferredcites →https://doi.org/10.1145/3338906.3341175openalex-snapshot
EVMFuzzer: detect EVM vulnerabilities via fuzz testing
inferredcites →https://doi.org/10.1145/96267.96279openalex-snapshot
An empirical study of the reliability of UNIX utilities
inferredcites →https://doi.org/10.14722/ndss.2016.23368openalex-snapshot
Driller: Augmenting Fuzzing Through Selective Symbolic Execution
inferredcites →https://doi.org/10.14722/ndss.2017.23404openalex-snapshot
VUzzer: Application-aware Evolutionary Fuzzing
inferredcites →https://doi.org/10.48550/arxiv.1807.00182openalex-snapshot
EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers
inferredcites →https://doi.org/10.5555/1855741.1855756openalex-snapshot
KLEE: unassisted and automatic generation of high-coverage tests for complex systems programs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/itl2.553openalex-snapshot
Vulnerability mining method of SOAP based on black‐box fuzzing
inferred← citeshttps://doi.org/10.1007/978-3-030-78375-4_2openalex-snapshot
DSS: Discrepancy-Aware Seed Selection Method for ICS Protocol Fuzzing
inferred← citeshttps://doi.org/10.1007/978-3-031-09234-3_18openalex-snapshot
IPSpex: Enabling Efficient Fuzzing via Specification Extraction on ICS Protocol
inferred← citeshttps://doi.org/10.1007/s10207-023-00731-wopenalex-snapshot
Enhancing attack resilience of cyber-physical systems through state dependency graph models
inferred← citeshttps://doi.org/10.1007/s10462-025-11320-9openalex-snapshot
Artificial intelligence for secure and sustainable industrial control systems - A Survey of challenges and solutions
inferred← citeshttps://doi.org/10.1007/s10515-025-00557-xopenalex-snapshot
Intelligent test case generation method for fuzzing IoT protocols based on LLM
inferred← citeshttps://doi.org/10.1007/s42979-024-03234-0openalex-snapshot
A Retrospective Analysis of a Rapid Review on Fuzz Security Testing for Software Implementation of Communication Protocols
inferred← citeshttps://doi.org/10.1016/j.cose.2026.105054openalex-snapshot
Enhancing ICS equipment security through fuzzing: Automated protocol inference and response-driven exploration
inferred← citeshttps://doi.org/10.1016/j.fsidi.2023.301565openalex-snapshot
PREE: Heuristic builder for reverse engineering of network protocols in industrial control systems
inferred← citeshttps://doi.org/10.1016/j.jnca.2024.104020openalex-snapshot
A survey on fuzz testing technologies for industrial control protocols
inferred← citeshttps://doi.org/10.1109/access.2023.3316028openalex-snapshot
Enhancing Operational Resilience of Critical Infrastructure Processes Through Chaos Engineering
inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00038openalex-snapshot
Seed-Adapted Cross-State Protocol Fuzzing
inferred← citeshttps://doi.org/10.1109/dac18072.2020.9218603openalex-snapshot
ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation
inferred← citeshttps://doi.org/10.1109/dac18074.2021.9586321openalex-snapshot
PAVFuzz: State-Sensitive Fuzz Testing of Protocols in Autonomous Vehicles
inferred← citeshttps://doi.org/10.1109/dsc53577.2021.00068openalex-snapshot
Review on Fuzz Testing for Protocols in Industrial Control Systems
inferred← citeshttps://doi.org/10.1109/hpcc64274.2024.00161openalex-snapshot
Speed is Not All You Need When Fuzzing Stateful Network Servers
inferred← citeshttps://doi.org/10.1109/ichora69329.2026.11537130openalex-snapshot
Automatic Discovery of Security Vulnerabilities in Substation Network Assets via Static Mining and Multi-Field Test Case
inferred← citeshttps://doi.org/10.1109/icse-seip52600.2021.00041openalex-snapshot
IntelliGen: Automatic Driver Synthesis for Fuzz Testing
inferred← citeshttps://doi.org/10.1109/icse-seip58684.2023.00013openalex-snapshot
Daisy: Effective Fuzz Driver Synthesis with Object Usage Sequence Analysis
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00045openalex-snapshot
PUPPY: Finding Performance Degradation Bugs in DBMSs via Limited-Optimization Plan Construction
inferred← citeshttps://doi.org/10.1109/icst49551.2021.00061openalex-snapshot
Poster: Fuzz Testing of Quantum Program
inferred← citeshttps://doi.org/10.1109/icst60714.2024.00021openalex-snapshot
MSGFuzzer: Message Sequence Guided Industrial Robot Protocol Fuzzing
inferred← citeshttps://doi.org/10.1109/ict65093.2025.11046294openalex-snapshot
A Coverage-Guided Fuzzing Method for Non-Access Stratum Protocol
inferred← citeshttps://doi.org/10.1109/issre.2019.00018openalex-snapshot
Engineering a Better Fuzzer with Synergically Integrated Optimizations
inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3569291openalex-snapshot
A Holistic Review of Fuzzing for Vulnerability Assessment in Industrial Network Protocols
inferred← citeshttps://doi.org/10.1109/psgec66102.2025.11150994openalex-snapshot
Fuzzing Approach Guided by the Features of Vulnerabilities for Power Industrial Control Protocols
inferred← citeshttps://doi.org/10.1109/rws52686.2021.9611797openalex-snapshot
Chaos Engineering for Enhanced Resilience of Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1109/saner67736.2026.00095openalex-snapshot
Understanding the Effectiveness of Mutators in Mutation-Based Protocol Fuzzing
inferred← citeshttps://doi.org/10.1109/sitis61268.2023.00048openalex-snapshot
Vulnerability Scanning Tool for Software-Define Network Controller
inferred← citeshttps://doi.org/10.1109/sp63933.2026.00001openalex-snapshot
Bridge: High-Order Taint Vulnerabilities Detection in Linux-Based IoT Firmware
inferred← citeshttps://doi.org/10.1109/sp63933.2026.00002openalex-snapshot
Camveil: Unveiling Security Camera Vulnerabilities Through Multi-Protocol Coordinated Fuzzing
inferred← citeshttps://doi.org/10.1109/tcad.2022.3201471openalex-snapshot
Vulnerability Detection of ICS Protocols via Cross-State Fuzzing
inferred← citeshttps://doi.org/10.1109/tcad.2024.3430195openalex-snapshot
NoCFuzzer: Automating NoC Verification in UVM
inferred← citeshttps://doi.org/10.1109/tcad.2024.3444705openalex-snapshot
Parallel Fuzzing of IoT Messaging Protocols Through Collaborative Packet Generation
inferred← citeshttps://doi.org/10.1109/tdsc.2022.3228076openalex-snapshot
Spenny: Extensive ICS Protocol Reverse Analysis via Field Guided Symbolic Execution
inferred← citeshttps://doi.org/10.1109/tifs.2025.3581434openalex-snapshot
SSTAF: Security Settings-Based Threat Assessment Framework of Programmable Logic Controllers
inferred← citeshttps://doi.org/10.1109/tse.2025.3595396openalex-snapshot
Enhancing Protocol Fuzzing via Diverse Seed Corpus Generation
inferred← citeshttps://doi.org/10.1145/3485832.3488028openalex-snapshot
ICS3Fuzzer: A Framework for Discovering Protocol Implementation Bugs in ICS Supervisory Software by Fuzzing
inferred← citeshttps://doi.org/10.1145/3533767.3534364openalex-snapshot
Unicorn: detect runtime errors in time-series databases with hybrid input synthesis
inferred← citeshttps://doi.org/10.1145/3538644openalex-snapshot
Fuzzing of Embedded Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3540250.3549107openalex-snapshot
Minerva: browser API fuzzing with dynamic mod-ref analysis
inferred← citeshttps://doi.org/10.1145/3607199.3607226openalex-snapshot
FieldFuzz: In Situ Blackbox Fuzzing of Proprietary Industrial Automation Runtimes via the Network
inferred← citeshttps://doi.org/10.1145/3650212.3680394openalex-snapshot
Logos: Log Guided Fuzzing for Protocol Implementations
inferred← citeshttps://doi.org/10.1145/3829084openalex-snapshot
Energy-Efficient LLM-Based Decompilation via a Two-Stage Pipeline on Constrained Hardware
inferred← citeshttps://doi.org/10.1371/journal.pone.0262176openalex-snapshot
Coverage-guided differential testing of TLS implementations based on syntax mutation
inferred← citeshttps://doi.org/10.2139/ssrn.6321424openalex-snapshot
PLCFuzz: ICS Equipment Fuzzing via Protocol Format Inference and Response Guidance
inferred← citeshttps://doi.org/10.3390/electronics13132475openalex-snapshot
StructuredFuzzer: Fuzzing Structured Text-Based Control Logic Applications
inferred← citeshttps://doi.org/10.3390/electronics13132632openalex-snapshot
MSFuzz: Augmenting Protocol Fuzzing with Message Syntax Comprehension via Large Language Models
inferred← citeshttps://doi.org/10.3390/fi17080377openalex-snapshot
A High-Acceptance-Rate VxWorks Fuzzing Framework Based on Protocol Feature Fusion and Memory Extraction
inferred← citeshttps://doi.org/10.3390/s26113348openalex-snapshot
Self-Evolving Multi-Agent Fuzzing for Industrial IoT with Knowledge-Driven Cognitive Reasoning
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