AI-Powered Vulnerability Detection for Secure Source Code Development

Sampath Rajapaksha*, Janaka Senanayake, Harsha Kalutarage, Mhd Omar Al-Kadri

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (SciVal)
    Original languageEnglish
    Title of host publicationInnovative Security Solutions for Information Technology and Communications - 15th International Conference, SecITC 2022, Revised Selected Papers
    EditorsGiampaolo Bella, Mihai Doinea, Helge Janicke
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages275-288
    Number of pages14
    ISBN (Print)9783031326356
    DOIs
    Publication statusPublished (VoR) - 2023
    Event15th International Conference on Security for Information Technology and Communications, SECITC 2022 - Virtual, Online
    Duration: 8 Dec 20229 Dec 2022

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume13809 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference15th International Conference on Security for Information Technology and Communications, SECITC 2022
    CityVirtual, Online
    Period8/12/229/12/22

    Keywords

    • Machine learning
    • Software security
    • Source code vulnerability
    • Vulnerability scanners

    Fingerprint

    Dive into the research topics of 'AI-Powered Vulnerability Detection for Secure Source Code Development'. Together they form a unique fingerprint.

    Cite this