Search Results - javascript code

Blind Auditing Security Testing. Blind Auditing of Web Vulnerabilities in Encrypted Javascript Code Repository

Authors: Padrão, João Rodrigues Domingos, Henrique RUN

Contributors: Padrão, João Rodrigues Domingos, Henrique RUN

Subject Terms: Software Security, Vulnerability Detection, Encrypted Code Repositories, Static Code Analysis, Tainting Analysis, Searchable Encryption, Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

File Description: application/pdf

Availability: http://hdl.handle.net/10362/185626

NatiSand: Native Code Sandboxing for JavaScript Runtimes

Authors: Marco Abbadini Dario Facchinetti Gianluca Oldani et al.

Source: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses. :639-653

Subject Terms: Sandboxing, Access Control, Web Application Security, JavaScript Runtime, Deno, Native Code Isolation

File Description: application/pdf

Javascript global identifier conflicts detection based on static analysis.

Authors: Sun, Shibo Yao, Shixiong Chen, Jiageng et al.

Source: Cybersecurity (2523-3246); 1/4/2026, Vol. 9 Issue 1, p1-12, 12p

Subject Terms: JAVASCRIPT programming language, WEB-based user interfaces, COMPUTER performance, SOURCE code

Javascript Code Simplification And Optimization Based On Hybrid Static and Dynamic Analysis Techniques

Authors: Yiting Gu

Source: 2025 IEEE 14th International Conference on Communication Systems and Network Technologies (CSNT). :826-833

JavaScript Dead Code Identification, Elimination, and Empirical Assessment

Authors: Ivano Malavolta Kishan Nirghin Gian Luca Scoccia et al.

Source: IEEE Transactions on Software Engineering

Subject Terms: JavaScript, Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, 0202 electrical engineering, electronic engineering, information engineering, Dead code, 02 engineering and technology

Access URL: http://arxiv.org/abs/2308.16729
https://hdl.handle.net/1871.1/a4e10774-eb17-4d6d-8d2b-f2f0d29f75a5
https://doi.org/10.1109/TSE.2023.3267848
https://research.vu.nl/en/publications/a4e10774-eb17-4d6d-8d2b-f2f0d29f75a5
https://hdl.handle.net/11386/4853560
https://doi.org/10.1109/TSE.2023.3267848

Unbundle-Rewrite-Rebundle: Runtime Detection and Rewriting of Privacy-Harming Code in JavaScript Bundles

Authors: Mir Masood Ali Peter Snyder Chris Kanich et al.

Source: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security. :2192-2206

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

Access URL: http://arxiv.org/abs/2405.00596

jscefr: A Framework to Evaluate the Code Proficiency for JavaScript

Authors: Ragkhitwetsagul, Chaiyong Kongwongsupak, Komsan Maneesawas, Thanakrit et al.

Source: 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME). :863-867

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Access URL: http://arxiv.org/abs/2408.16452

Research on Front-End JavaScript Code Protection Method Based on Go Language and WebAssembly

Authors: Jun Liu Xin Wang Jun Yan et al.

Source: 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology (ICCASIT). :527-532

Features of Using Frameworks and Artificial Intelligence Language Models for JavaScript Code Optimization in Web Application Development

Authors: Olena Kopishynska Ihor Sliusar Vadym Slyusar et al.

Source: 2024 14th International Conference on Dependable Systems, Services and Technologies (DESSERT). :1-7

Deobfuscating JavaScript Code Using Character-Based Tokenization

Authors: Alexandru-Gabriel SÎRBU

Source: Studia Universitatis Babes-Bolyai: Series Informatica, Vol 68, Iss 2 (2023)

Subject Terms: JavaScript deobfuscation, variable name prediction, Deep Learning, Recurrent Neural Network, Abstract Syntax Tree, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Access URL: https://doaj.org/article/799d2b86e03648deab9b737f17d4b72d

A comparative analysis of the performance of JavaScript code execution environments: Node.js, Deno and Bun

Authors: Andrei Aleksandrovich Smirnov Egor Aleksandrovich Podolskiy Artem Vyacheslavovich Cherenkov et al.

Source: Программные системы и вычислительные методы. :109-123

Detecting and Understanding Self-Deleting JavaScript Code

Authors: Xinzhe Wang Zeyang Zhuang Wei Meng et al.

Source: Proceedings of the ACM Web Conference 2024. :1768-1778

Exploring Service Workers for Javascript Code Protection

Authors: João Henrique Poceiro Vieira de Araújo

Subject Terms: Engenharia electrotécnica, electrónica e informática, Electrical engineering, Electronic engineering, Information engineering

File Description: application/pdf

Availability: https://hdl.handle.net/10216/136432

Source to source compiler for the automatic parallelization of JavaScript code

Authors: Diaz Baskakov, Serguei Ramiro Ramirovich Gutiérrez Cárdenas, Juan Manuel

Source: Repositorio Institucional-Ulima
Universidad de Lima

Subject Terms: JavaScript (Computer program language), Parallel processing (Electronic computers), JavaScript (Lenguaje de programación), Parallel programming (Computer science), Programación en paralelo, Proceso paralelo (Informática)

File Description: application/pdf

Access URL: https://hdl.handle.net/20.500.12724/17570

Lacuna-Based JavaScript Code Visualization and Dead Code Optimization: A Cross-Platform Performance Evaluation

Authors: Tejas Wasekar Shubham Tambe Shruti Sood et al.

Source: SSRN Electronic Journal.

AdCPG: Classifying JavaScript Code Property Graphs with Explanations for Ad and Tracker Blocking

Authors: Changmin Lee Sooel Son

Source: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. :3505-3518

An empirical study of the relationship between refactorings and merge conflicts in Javascript code

Authors: José Glauber Oliveira Melina Mongiovi Sabrina Souto

Source: Proceedings of the XXXVII Brazilian Symposium on Software Engineering. :89-98

Obfuscated JavaScript Code Detection using Machine Learning with AST-based Syntactic and Lexical Analysis

Authors: Eren Kılıç Mehmet Tahir Sandıkkaya

Source: 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech). :1-6

Detection Approach of Malicious JavaScript Code Based on deep learning

Authors: Liyuan Zheng Dongcheng Zhang Xin Xie et al.

Source: 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). :1075-1079

Random Forest for Code Smell Detection in JavaScript

Authors: Diego S. Sarafim Karina V. Delgado Daniel Cordeiro

Source: Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022). :13-24

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