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Binary Code Clone Detection across Architectures and Compiling Configurations

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-69738-1_1openalex-snapshot
DIVINE: DIscovering Variables IN Executables
inferredcites →https://doi.org/10.1007/978-3-540-89740-8openalex-snapshot
Languages and Compilers for Parallel Computing
inferredcites →https://doi.org/10.1109/icse.2007.30openalex-snapshot
DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones
inferredcites →https://doi.org/10.1109/icsm.1998.738528openalex-snapshot
Clone detection using abstract syntax trees
inferredcites →https://doi.org/10.1109/issre.2014.18openalex-snapshot
Program Logic Based Software Plagiarism Detection
inferredcites →https://doi.org/10.1109/msr.2013.6624046openalex-snapshot
Rendezvous: A search engine for binary code
inferredcites →https://doi.org/10.1109/saner.2016.50openalex-snapshot
Cross-Architecture Binary Semantics Understanding via Similar Code Comparison
inferredcites →https://doi.org/10.1109/sequen.1997.666900openalex-snapshot
On the resemblance and containment of documents
inferredcites →https://doi.org/10.1109/sp.2015.49openalex-snapshot
Cross-Architecture Bug Search in Binary Executables
inferredcites →https://doi.org/10.1109/sp.2016.17openalex-snapshot
SOK: (State of) The Art of War: Offensive Techniques in Binary Analysis
inferredcites →https://doi.org/10.1109/tse.2002.1019480openalex-snapshot
CCFinder: a multilinguistic token-based code clone detection system for large scale source code
inferredcites →https://doi.org/10.1109/wcre.2005.13openalex-snapshot
Deobfuscation: Reverse Engineering Obfuscated Code
inferredcites →https://doi.org/10.1145/1250734.1250746openalex-snapshot
Valgrind
inferredcites →https://doi.org/10.1145/1572272.1572287openalex-snapshot
Detecting code clones in binary executables
inferredcites →https://doi.org/10.1145/1653662.1653696openalex-snapshot
Behavior based software theft detection
inferredcites →https://doi.org/10.1145/1985793.1985899openalex-snapshot
Value-based program characterization and its application to software plagiarism detection
inferredcites →https://doi.org/10.1145/2338965.2336767openalex-snapshot
A first step towards algorithm plagiarism detection
inferredcites →https://doi.org/10.1145/2420950.2421001openalex-snapshot
Lines of malicious code
inferredcites →https://doi.org/10.1145/2491956.2462165openalex-snapshot
Scalable variable and data type detection in a binary rewriter
inferredcites →https://doi.org/10.1145/2594291.2594343openalex-snapshot
Tracelet-based code search in executables
inferredcites →https://doi.org/10.1145/2635868.2635900openalex-snapshot
Semantics-based obfuscation-resilient binary code similarity comparison with applications to software plagiarism detection
inferredcites →https://doi.org/10.1145/2666356.2594343openalex-snapshot
Tracelet-based code search in executables
inferredcites →https://doi.org/10.1145/2908080.2908126openalex-snapshot
Statistical similarity of binaries
inferredcites →https://doi.org/10.1145/2950290.2950350openalex-snapshot
BinGo: cross-architecture cross-OS binary search
inferredcites →https://doi.org/10.1145/2976749.2978370openalex-snapshot
Scalable Graph-based Bug Search for Firmware Images
inferredcites →https://doi.org/10.1184/r1/6468446openalex-snapshot
Blanket Execution: Dynamic Similarity Testing for Program Binaries and Components
inferredcites →https://doi.org/10.1184/r1/6469466openalex-snapshot
TIE: Principled Reverse Engineering of Types in Binary Programs
inferredcites →https://doi.org/10.14722/ndss.2016.23185openalex-snapshot
discovRE: Efficient Cross-Architecture Identification of Bugs in Binary Code
inferredcites →https://doi.org/10.14722/ndss.2017.23404openalex-snapshot
VUzzer: Application-aware Evolutionary Fuzzing
inferredcites →https://doi.org/10.21236/ada538737openalex-snapshot
Binary Code Extraction and Interface Identification for Security Applications
inferredcites →https://doi.org/10.4230/dagsemproc.06301.14openalex-snapshot
The Software Similarity Problem in Malware Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multigranularity semantics based vulnerability search method for cross‐platform binary
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FuncNet: A Euclidean Embedding Approach for Lightweight Cross-platform Binary Recognition
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Similarity of Binaries Across Optimization Levels and Obfuscation
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VES: A Component Version Extracting System for Large-Scale IoT Firmwares
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COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks
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Detect Compiler Inserted Run-time Security Checks in Binary Software
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Obfuscation-Resilient Semantic Functionality Identification Through Program Simulation
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Automated Binary Analysis: A Survey
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Identifying Library Functions in Stripped Binary: Combining Function Similarity and Call Graph Features
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Development of Porting Analyzer to Search Cross-Language Code Clones Using Levenshtein Distance
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Anti-obfuscation Binary Code Clone Detection Based on Software Gene
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Binary Code Similarity Detection: A Comprehensive Review
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Analyzing and revivifying function signature inference using deep learning
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OpTrans: enhancing binary code similarity detection with function inlining re-optimization
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PrecIRisc: A High-Precision and Low-Bloat Dynamic Binary Instrumentation Tailored for RISC Architectures
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Semantically find similar binary codes with mixed key instruction sequence
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VulSlicer: Vulnerability detection through code slicing
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Automatically Patching Vulnerabilities of Binary Programs via Code Transfer From Correct Versions
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Machine Learning-Based Analysis of Program Binaries: A Comprehensive Study
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A Systematic Review on Code Clone Detection
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A Survey of Software Clone Detection From Security Perspective
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Version-Wide Software Birthmark via Machine Learning
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BinCC: Scalable Function Similarity Detection in Multiple Cross-Architectural Binaries
inferred← citeshttps://doi.org/10.1109/access.2025.3610616openalex-snapshot
Binary Code Analysis for Cybersecurity: A Systematic Review of Forensic Techniques in Vulnerability Detection and Anti-Evasion Strategies
inferred← citeshttps://doi.org/10.1109/acsos-c51401.2020.00057openalex-snapshot
Detection of Similar Functions Through the Use of Dominator Information
inferred← citeshttps://doi.org/10.1109/acsos-c52956.2021.00063openalex-snapshot
U sing Clone Detection for Finding Signatures of Malware Families: A Case Study on FinSpy
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BCFinder: A Lightweight and Platform-Independent Tool to Find Third-Party Components in Binaries
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B2SFinder: Detecting Open-Source Software Reuse in COTS Software
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PseudoFix: Refactoring Distorted Structures in Decompiled C Pseudocode
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An Empirical Study of CPG-based Static Analysis on Binaries
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Structural Function Based Code Clone Detection Using a New Hybrid Technique
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VulDet-BC: Binary Software Vulnerability Detection Based on BiGRU and CNN
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Reverse Engineering and Backdooring Router Firmwares
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BinMatch: A Semantics-Based Hybrid Approach on Binary Code Clone Analysis
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You Look so Different: Finding Structural Clones and Subclones in Java Source Code
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FUNC-ESIM: A Dual Pairwise Attention Network for Cross-version Binary Function Matching
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GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection
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FGF-Bert: A modified Bert-based approach with a fine-grained feature fusion strategy for Binary Code Similarity Detection
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Detecting functionally similar code within the same project
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NiCad+: Speeding the Detecting Process of NiCad
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Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization
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SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask
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Cross-Architecture Software Vulnerability Analysis in Binary Code
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A Semantics-Based Hybrid Approach on Binary Code Similarity Comparison
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Semantic Learning and Emulation Based Cross-Platform Binary Vulnerability Seeker
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Modeling Functional Similarity in Source Code With Graph-Based Siamese Networks
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Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned
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Learning Approximate Execution Semantics From Traces for Binary Function Similarity
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