Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin

Janaka Senanayake; Harsha Kalutarage; Mhd Omar Al-Kadri; Andrei Petrovski; Luca Piras

doi:10.1007/978-3-031-37586-6_20

Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin

Janaka Senanayake^*, Harsha Kalutarage, Mhd Omar Al-Kadri, Andrei Petrovski, Luca Piras

^*Corresponding author for this work

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

5 Citations (SciVal)

Original language	English
Title of host publication	Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Proceedings
Editors	Vijayalakshmi Atluri, Anna Lisa Ferrara
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	339-357
Number of pages	19
ISBN (Print)	9783031375859
DOIs	https://doi.org/10.1007/978-3-031-37586-6_20
Publication status	Published (VoR) - 2023
Event	37th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2023 - Sophia Antipolis, France Duration: 19 Jul 2023 → 21 Jul 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13942 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	37th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2023
Country/Territory	France
City	Sophia Antipolis
Period	19/07/23 → 21/07/23

Keywords

Android application security
artificial intelligence
code vulnerability
labelled dataset
plugin

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10.1007/978-3-031-37586-6_20

Cite this

Senanayake, J., Kalutarage, H., Al-Kadri, M. O., Petrovski, A., & Piras, L. (2023). Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. In V. Atluri, & A. L. Ferrara (Eds.), Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Proceedings (pp. 339-357). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13942 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-37586-6_20

Senanayake, Janaka ; Kalutarage, Harsha ; Al-Kadri, Mhd Omar et al. / Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Proceedings. editor / Vijayalakshmi Atluri ; Anna Lisa Ferrara. Springer Science and Business Media Deutschland GmbH, 2023. pp. 339-357 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin",

keywords = "Android application security, artificial intelligence, code vulnerability, labelled dataset, plugin",

author = "Janaka Senanayake and Harsha Kalutarage and Al-Kadri, {Mhd Omar} and Andrei Petrovski and Luca Piras",

note = "Funding Information: We thank Robert Gordon University-UK and the Accelerating Higher Education Expansion and Development grant (AHEAD) of Sri Lanka, University of Kelaniya-Sri Lanka for their support. Publisher Copyright: {\textcopyright} 2023, IFIP International Federation for Information Processing.; 37th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2023 ; Conference date: 19-07-2023 Through 21-07-2023",

year = "2023",

doi = "10.1007/978-3-031-37586-6_20",

language = "English",

isbn = "9783031375859",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "339--357",

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booktitle = "Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Proceedings",

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Senanayake, J, Kalutarage, H, Al-Kadri, MO, Petrovski, A & Piras, L 2023, Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. in V Atluri & AL Ferrara (eds), Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13942 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 339-357, 37th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2023, Sophia Antipolis, France, 19/07/23. https://doi.org/10.1007/978-3-031-37586-6_20

Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. / Senanayake, Janaka; Kalutarage, Harsha; Al-Kadri, Mhd Omar et al.
Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Proceedings. ed. / Vijayalakshmi Atluri; Anna Lisa Ferrara. Springer Science and Business Media Deutschland GmbH, 2023. p. 339-357 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13942 LNCS).

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

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AU - Senanayake, Janaka

AU - Kalutarage, Harsha

AU - Al-Kadri, Mhd Omar

AU - Petrovski, Andrei

AU - Piras, Luca

N1 - Funding Information: We thank Robert Gordon University-UK and the Accelerating Higher Education Expansion and Development grant (AHEAD) of Sri Lanka, University of Kelaniya-Sri Lanka for their support. Publisher Copyright: © 2023, IFIP International Federation for Information Processing.

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KW - artificial intelligence

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Senanayake J, Kalutarage H, Al-Kadri MO, Petrovski A, Piras L. Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. In Atluri V, Ferrara AL, editors, Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 339-357. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-37586-6_20

Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin

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