JSVulExplorer:A JavaScript Vulnerability Detection Model Based on Transfer Learning

被引:0
|
作者
Chen, Shengquan [1 ,2 ]
Jiang, Nan [1 ]
Wu, Zheng [1 ]
Wang, Zichen [1 ]
机构
[1] Faculty of Information Technology, Beijing University of Technology, Beijing,100124, China
[2] Beijing Key Laboratory of Trusted Computing, Beijing,100124, China
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
1256645
中图分类号
学科分类号
摘要
Codes (symbols) - Deep learning - High level languages - Learning systems - Network security - Semantics - Software reliability - Static analysis - Trees (mathematics)
引用
收藏
相关论文
共 50 条
  • [41] On the Code Vulnerability Detection Based on Deep Learning: A Comparative Study
    Li, Guiping
    Yang, Yege
    IEEE ACCESS, 2024, 12 : 152377 - 152391
  • [42] A Rapid Review on Graph-Based Learning Vulnerability Detection
    Foulefack, Rosmael Zidane Lekeufack
    Marchetto, Alessandro
    QUALITY OF INFORMATION AND COMMUNICATIONS TECHNOLOGY, QUATIC 2024, 2024, 2178 : 355 - 372
  • [43] A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection
    Canan Batur Şahin
    Laith Abualigah
    Neural Computing and Applications, 2021, 33 : 14049 - 14067
  • [44] A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection
    Sahin, Canan Batur
    Abualigah, Laith
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (20): : 14049 - 14067
  • [45] Meta-heuristic-based hybrid deep learning model for vulnerability detection and prevention in software system
    Shaji, Lijin
    Pramila, R. Suji
    JOURNAL OF COMBINATORIAL OPTIMIZATION, 2024, 48 (02)
  • [46] An integrated deep learning model for Ethereum smart contract vulnerability detection
    Vikas Kumar Jain
    Meenakshi Tripathi
    International Journal of Information Security, 2024, 23 : 557 - 575
  • [47] An integrated deep learning model for Ethereum smart contract vulnerability detection
    Jain, Vikas Kumar
    Tripathi, Meenakshi
    INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 2024, 23 (01) : 557 - 575
  • [48] When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection
    Wen, Xin-Cheng
    Wang, Xinchen
    Gao, Cuiyun
    Wang, Shaohua
    Liu, Yang
    Gu, Zhaoquan
    2023 38TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, ASE, 2023, : 345 - 357
  • [49] Towards a Deep Learning Model for Vulnerability Detection on Web Application Variants
    Fidalgo, Ana
    Medeiros, Iberia
    Antunes, Paulo
    Neves, Nuno
    2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS (ICSTW), 2020, : 465 - 476
  • [50] Adversarial Vulnerability of Active Transfer Learning
    Mueller, Nicolas M.
    Boettinger, Konstantin
    ADVANCES IN INTELLIGENT DATA ANALYSIS XIX, IDA 2021, 2021, 12695 : 116 - 127