AI-Powered Vulnerability Detection for Secure Source Code Development

Sampath Rajapaksha; Janaka Senanayake; Harsha Kalutarage; Mhd Omar Al-Kadri

doi:10.1007/978-3-031-32636-3_16

AI-Powered Vulnerability Detection for Secure Source Code Development

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

^*Corresponding author for this work

Robert Gordon University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (SciVal)

Original language	English
Title of host publication	Innovative Security Solutions for Information Technology and Communications - 15th International Conference, SecITC 2022, Revised Selected Papers
Editors	Giampaolo Bella, Mihai Doinea, Helge Janicke
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	275-288
Number of pages	14
ISBN (Print)	9783031326356
DOIs	https://doi.org/10.1007/978-3-031-32636-3_16
Publication status	Published (VoR) - 2023
Event	15th International Conference on Security for Information Technology and Communications, SECITC 2022 - Virtual, Online Duration: 8 Dec 2022 → 9 Dec 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13809 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Security for Information Technology and Communications, SECITC 2022
City	Virtual, Online
Period	8/12/22 → 9/12/22

Keywords

Machine learning
Software security
Source code vulnerability
Vulnerability scanners

Access to Document

10.1007/978-3-031-32636-3_16

Cite this

Rajapaksha, S., Senanayake, J., Kalutarage, H., & Al-Kadri, M. O. (2023). AI-Powered Vulnerability Detection for Secure Source Code Development. In G. Bella, M. Doinea, & H. Janicke (Eds.), Innovative Security Solutions for Information Technology and Communications - 15th International Conference, SecITC 2022, Revised Selected Papers (pp. 275-288). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13809 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-32636-3_16

Rajapaksha, Sampath ; Senanayake, Janaka ; Kalutarage, Harsha et al. / AI-Powered Vulnerability Detection for Secure Source Code Development. Innovative Security Solutions for Information Technology and Communications - 15th International Conference, SecITC 2022, Revised Selected Papers. editor / Giampaolo Bella ; Mihai Doinea ; Helge Janicke. Springer Science and Business Media Deutschland GmbH, 2023. pp. 275-288 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "AI-Powered Vulnerability Detection for Secure Source Code Development",

keywords = "Machine learning, Software security, Source code vulnerability, Vulnerability scanners",

author = "Sampath Rajapaksha and Janaka Senanayake and Harsha Kalutarage and Al-Kadri, {Mhd Omar}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 15th International Conference on Security for Information Technology and Communications, SECITC 2022 ; Conference date: 08-12-2022 Through 09-12-2022",

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Rajapaksha, S, Senanayake, J, Kalutarage, H & Al-Kadri, MO 2023, AI-Powered Vulnerability Detection for Secure Source Code Development. in G Bella, M Doinea & H Janicke (eds), Innovative Security Solutions for Information Technology and Communications - 15th International Conference, SecITC 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13809 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 275-288, 15th International Conference on Security for Information Technology and Communications, SECITC 2022, Virtual, Online, 8/12/22. https://doi.org/10.1007/978-3-031-32636-3_16

AI-Powered Vulnerability Detection for Secure Source Code Development. / Rajapaksha, Sampath; Senanayake, Janaka; Kalutarage, Harsha et al.
Innovative Security Solutions for Information Technology and Communications - 15th International Conference, SecITC 2022, Revised Selected Papers. ed. / Giampaolo Bella; Mihai Doinea; Helge Janicke. Springer Science and Business Media Deutschland GmbH, 2023. p. 275-288 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13809 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Rajapaksha S, Senanayake J, Kalutarage H, Al-Kadri MO. AI-Powered Vulnerability Detection for Secure Source Code Development. In Bella G, Doinea M, Janicke H, editors, Innovative Security Solutions for Information Technology and Communications - 15th International Conference, SecITC 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2023. p. 275-288. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-32636-3_16