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JSOD: JavaScript obfuscation detector

https://doi.org/10.1002/sec.1064
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-02918-9_6openalex-snapshot
Defending Browsers against Drive-by Downloads: Mitigating Heap-Spraying Code Injection Attacks
inferredcites →https://doi.org/10.1007/978-3-642-05437-2_5openalex-snapshot
Mitigating Drive-By Download Attacks: Challenges and Open Problems
inferredcites →https://doi.org/10.1007/978-3-642-29166-1_31openalex-snapshot
Automatic Simplification of Obfuscated JavaScript Code (Extended Abstract)
inferredcites →https://doi.org/10.1016/j.ins.2013.04.009openalex-snapshot
Anomaly secure detection methods by analyzing dynamic characteristics of the network traffic in cloud communications
inferredcites →https://doi.org/10.1016/j.ins.2013.04.028openalex-snapshot
Security and privacy for storage and computation in cloud computing
inferredcites →https://doi.org/10.1109/icdcsw.2010.36openalex-snapshot
SecCloud: Bridging Secure Storage and Computation in Cloud
inferredcites →https://doi.org/10.1109/ipdps.2012.126openalex-snapshot
A Self-tuning Failure Detection Scheme for Cloud Computing Service
inferredcites →https://doi.org/10.1109/jsac.2009.090512openalex-snapshot
Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems
inferredcites →https://doi.org/10.1109/malware.2009.5403020openalex-snapshot
Obfuscated malicious javascript detection using classification techniques
inferredcites →https://doi.org/10.1109/ntms.2011.5720649openalex-snapshot
Term-Rewriting Deobfuscation for Static Client-Side Scripting Malware Detection
inferredcites →https://doi.org/10.1109/sere.2012.13openalex-snapshot
Automatic Simplification of Obfuscated JavaScript Code: A Semantics-Based Approach
inferredcites →https://doi.org/10.1109/sp.2012.48openalex-snapshot
Rozzle: De-cloaking Internet Malware
inferredcites →https://doi.org/10.1145/1143844.1143874openalex-snapshot
The relationship between Precision-Recall and ROC curves
inferredcites →https://doi.org/10.1145/1244408.1244423openalex-snapshot
A taxonomy of JavaScript redirection spam
inferredcites →https://doi.org/10.1145/1526709.1526838openalex-snapshot
Characterizing insecure javascript practices on the web
inferredcites →https://doi.org/10.1145/1772690.1772720openalex-snapshot
Detection and analysis of drive-by-download attacks and malicious JavaScript code
inferredcites →https://doi.org/10.1145/1963405.1963436openalex-snapshot
Prophiler
inferredcites →https://doi.org/10.1145/2435349.2435364openalex-snapshot
JStill
inferredcites →https://doi.org/10.1145/988672.988679openalex-snapshot
Securing web application code by static analysis and runtime protection
inferredcites →https://doi.org/10.1515/pik-2012-0009openalex-snapshot
Intelligent Defense against Malicious JavaScript Code
inferredcites →https://doi.org/10.1587/transinf.e94.d.2159openalex-snapshot
A Step towards Static Script Malware Abstraction: Rewriting Obfuscated Script with Maude
inferredcites →https://doi.org/10.2298/csis111215015popenalex-snapshot
A scale for crawler effectiveness on the client-side hidden web

What points at this work

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

inferred← citeshttps://doi.org/10.1002/sec.1441openalex-snapshot
A deep learning approach for detecting malicious JavaScript code
inferred← citeshttps://doi.org/10.1007/978-3-031-35828-9_25openalex-snapshot
Sustainability of Web Application Security Using Obfuscation: Techniques and Effects
inferred← citeshttps://doi.org/10.1007/s10207-023-00736-5openalex-snapshot
Short- versus long-term performance of detection models for obfuscated MSOffice-embedded malware
inferred← citeshttps://doi.org/10.1016/j.cose.2021.102301openalex-snapshot
Spider bird swarm algorithm with deep belief network for malicious JavaScript detection
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100810openalex-snapshot
From past to present: A survey of malicious URL detection techniques, datasets and code repositories
inferred← citeshttps://doi.org/10.1016/j.future.2025.108318openalex-snapshot
Deobfuscation of JavaScript code and identification of security weaknesses through large language models
inferred← citeshttps://doi.org/10.1109/access.2020.3031690openalex-snapshot
A Systematic Literature Review and Quality Analysis of Javascript Malware Detection
inferred← citeshttps://doi.org/10.1109/access.2025.3550781openalex-snapshot
From Static to AI-Driven Detection: A Comprehensive Review of Obfuscated Malware Techniques
inferred← citeshttps://doi.org/10.1109/aisp.2015.7123508openalex-snapshot
JSObfusDetector: A binary PSO-based one-class classifier ensemble to detect obfuscated JavaScript code
inferred← citeshttps://doi.org/10.1109/apsec.2018.00051openalex-snapshot
Malicious JavaScript Code Detection Based on Hybrid Analysis
inferred← citeshttps://doi.org/10.1109/iccke.2015.7365841openalex-snapshot
DbDHunter: An ensemble-based anomaly detection approach to detect drive-by download attacks
inferred← citeshttps://doi.org/10.1109/icct.2017.8359972openalex-snapshot
Detecting obfuscated suspicious JavaScript based on collaborative training
inferred← citeshttps://doi.org/10.1109/medcom67532.2025.11405113openalex-snapshot
To study and analyze obfuscated, polymorphic, and zero-day malware behaviors: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/sin56466.2022.9970550openalex-snapshot
Evolution of macro VBA obfuscation techniques
inferred← citeshttps://doi.org/10.1109/sp46214.2022.9833626openalex-snapshot
Wobfuscator: Obfuscating JavaScript Malware via Opportunistic Translation to WebAssembly
inferred← citeshttps://doi.org/10.1145/3308558.3313752openalex-snapshot
Anything to Hide? Studying Minified and Obfuscated Code in the Web
inferred← citeshttps://doi.org/10.1145/3320269.3384742openalex-snapshot
AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings
inferred← citeshttps://doi.org/10.1145/3419394.3423616openalex-snapshot
Hiding in Plain Site
inferred← citeshttps://doi.org/10.1145/3511808.3557620openalex-snapshot
JavaScript&Me, A Tool to Support Research into Code Transformation and Browser Security
inferred← citeshttps://doi.org/10.1145/3597926.3598146openalex-snapshot
An Empirical Study on the Effects of Obfuscation on Static Machine Learning-Based Malicious JavaScript Detectors
inferred← citeshttps://doi.org/10.1145/3714460openalex-snapshot
JSimpo: Structural Deobfuscation of JavaScript Programs
inferred← citeshttps://doi.org/10.1155/2017/5360472openalex-snapshot
Defending Malicious Script Attacks Using Machine Learning Classifiers
inferred← citeshttps://doi.org/10.1155/2021/9923234openalex-snapshot
PBDT: Python Backdoor Detection Model Based on Combined Features
inferred← citeshttps://doi.org/10.1186/s42400-026-00645-9openalex-snapshot
JSCoherence: detecting obfuscated malicious JavaScript via data-dependent statement pairs
inferred← citeshttps://doi.org/10.32604/csse.2023.026526openalex-snapshot
Cyberattack Detection Framework Using Machine Learning and User Behavior Analytics
inferred← citeshttps://doi.org/10.3390/app10176116openalex-snapshot
Lightweight Detection Method of Obfuscated Landing Sites Based on the AST Structure and Tokens
inferred← citeshttps://doi.org/10.3390/fi14080217openalex-snapshot
Detection of Obfuscated Malicious JavaScript Code
inferred← citeshttps://doi.org/10.35940/ijitee.b1121.1292s219openalex-snapshot
Hybrid Optimization Driven Technique for Malicious Javascript Detection Based on Deep Learning Classifier
inferred← citeshttps://doi.org/10.4018/ijdst.300354openalex-snapshot
An Approach for Malicious JavaScript Detection Using Adaptive Taylor Harris Hawks Optimization-Based Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.48550/arxiv.1905.09538openalex-snapshot
AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings
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