@inproceedings{bced3113ea384c489c318f08040ac7e8,
title = "Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning",
keywords = "android, code vulnerability detection, machine learning, secure mobile apps, static analysis, vulnerability dataset",
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, the University of Ke-laniya and the AHEAD grant — Sri Lanka for their support. Funding Information: We thank Robert Gordon University - UK, the University of Kelaniya and the AHEAD grant - Sri Lanka for their support. Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 17th ACM ASIA Conference on Computer and Communications Security 2022, ASIA CCS 2022 ; Conference date: 30-05-2022 Through 03-06-2022",
year = "2022",
month = may,
day = "30",
doi = "10.1145/3488932.3527290",
language = "English",
series = "ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security",
publisher = "Association for Computing Machinery",
pages = "1255--1257",
booktitle = "ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security",
}