Search Results - "JavaScript malware"

Enhancing JavaScript Malware Detection Through Weighted Behavioral DFAs

Authors: Pedro Pereira José Gonçalves João Vitorino et al.

Source: Communications in Computer and Information Science ISBN: 9783031948541

Subject Terms: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Cryptography and Security (cs.CR)

Access URL: http://arxiv.org/abs/2505.21406

Next-generation antivirus for JavaScript malware detection based on dynamic features

Authors: Sidney M. L. de Lima Danilo Souza Ricardo Pinheiro et al.

Source: Knowledge and Information Systems. 66:1337-1370

On JavaScript Malware and related threats

Authors: Martin Johns

Source: J. Comput. Virol.. 4:161-178

A Systematic Literature Review and Quality Analysis of Javascript Malware Detection

Authors: Md Fahimuzzman Sohan Anas Basalamah

Source: IEEE Access, Vol 8, Pp 190539-190552 (2020)

Subject Terms: FOS: Computer and information sciences, JavaScript, Code Clone Detection, Cybersecurity, MEDLINE, FOS: Political science, Software Defect Prediction, FOS: Law, Epistemology, 02 engineering and technology, Malware, Detection and Prevention of Phishing Attacks, Data science, Characterization and Detection of Android Malware, Context (archaeology), Computer security, 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, javascript attacks, Key (lock), Political science, Biology, Source Code Analysis, systematic literature review, Paleontology, Computer science, TK1-9971, FOS: Philosophy, ethics and religion, World Wide Web, Philosophy, Spam Detection, Signal Processing, Computer Science, Physical Sciences, Systematic review, Quality (philosophy), Security Analysis, javascript malware detection, Electrical engineering. Electronics. Nuclear engineering, malicious code detection, Law, Empirical Studies in Software Engineering, Information Systems

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09226527.pdf
https://doaj.org/article/166a15a34eb547178523936e1969c86f

Wobfuscator: Obfuscating JavaScript Malware via Opportunistic Translation to WebAssembly

Authors: Alan Romano Daniel Lehmann 0002 Michael Pradel et al.

Source: 2022 IEEE Symposium on Security and Privacy (SP)

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus

Authors: Yun-Da Tsai Cheng-Kuan Chen Shou-De Lin

Source: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. :4165-4172

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 3. Good health, 0105 earth and related environmental sciences

JavaScript malware behaviour analysis and detection using sandbox assisted ensemble model

Authors: Pushkar Kishore Swadhin Kumar Barisal Durga Prasad Mohapatra

Source: 2020 IEEE REGION 10 CONFERENCE (TENCON). :864-869

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Novel JavaScript malware detection based on fuzzy Petri nets

Authors: Yi-Nan Lin Sheng-Kuan Wang Cheng-Ying Yang et al.

Source: Journal of Intelligent & Fuzzy Systems. 39:249-261

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Javascript Malware Detection Using A High-Level Fuzzy Petri Net

Authors: Victor R. L. Shen Chin-Shan Wei Tong-Ying Tony Juang

Source: 2018 International Conference on Machine Learning and Cybernetics (ICMLC). :511-514

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Enhancing JavaScript Malware Detection through Weighted Behavioral DFAs

Authors: Pereira, Pedro Gonçalves, José Vitorino, João et al.

Subject Terms: Cryptography and Security

Relation: http://arxiv.org/abs/2505.21406

Availability: http://arxiv.org/abs/2505.21406

Advanced transcriptase for JavaScript malware

Authors: Fabio Di Troia Corrado Aaron Visaggio Thomas H. Austin et al.

Source: 2016 11th International Conference on Malicious and Unwanted Software (MALWARE). :1-8

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Improving JavaScript Malware Classifier's Security against Evasion by Particle Swarm Optimization

Authors: Zibo Yi Jun Ma 0015 Lei Luo 0002 et al.

Source: 2016 IEEE Trustcom/BigDataSE/ISPA. :1734-1740

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

JSDC: A Hybrid Approach for JavaScript Malware Detection and Classification

Authors: Junjie Wang 0007 Yinxing Xue Yang Liu 0003 et al.

Source: Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security. :109-120

Subject Terms: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

JavaScript Malware Detection Using Locality Sensitive Hashing

Authors: Peiser, Stefan Carl Friborg, Ludwig Scandariato, Riccardo et al.

Contributors: Peiser, Stefan Carl Friborg, Ludwig Scandariato, Riccardo et al.

Source: IFIP Advances in Information and Communication Technology ISBN: 9783030582005

Subject Terms: JavaScript, MLE@TUHH, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, [INFO] Computer Science [cs], LSH, Malware, Neural network

File Description: application/pdf

Detecting Obfuscated JavaScript Malware Using Sequences of Internal Function Calls

Authors: Alireza Gorji Mahdi Abadi

Source: Proceedings of the 2014 ACM Southeast Regional Conference. :1-6

Subject Terms: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

ZOZZLE: Fast and Precise In-Browser JavaScript Malware Detection

Authors: Charlie Curtsinger Benjamin Livshits Benjamin G. Zorn et al.

Access URL: http://static.usenix.org/events/sec11/tech/full_papers/Curtsinger.pdf

Hunting for metamorphic JavaScript malware

Authors: Mangesh Musale Thomas H. Austin Mark Stamp 0001

Source: Journal of Computer Virology and Hacking Techniques. 11:89-102

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://scholarworks.sjsu.edu/cgi/viewcontent.cgi?article=1357&context=etd_projects

A Novel Synthetic Dataset for JavaScript Malware Detection

Authors: Ikni, Hind Belfedhal, Alaa Eddine

Source: 2025 International Conference on Artificial Intelligence and Innovative Applications (AIIA) ; page 1-6

Availability: https://doi.org/10.1109/aiia68273.2025.11383680
http://xplorestaging.ieee.org/ielx8/11382207/11383565/11383680.pdf?arnumber=11383680

Multiple Classifier Systems for More Accurate JavaScript Malware Detection

Authors: Qingbo Wu Jie Yu Lei Luo et al.

Source: Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016).

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://download.atlantis-press.com/article/25859605.pdf

Protecting the Intranet Against 'JavaScript Malware' and Related Attacks

Authors: Martin Johns Justus Winter

Source: Lecture Notes in Computer Science ISBN: 9783540736134