Developing secured android applications by mitigating code vulnerabilities with machine learning

J Senanayake, H Kalutarage, MO Al-Kadri… - Proceedings of the …, 2022 - dl.acm.org
Mobile application developers sometimes might not be serious about source code security
and publish apps to the marketplaces. Therefore, it is essential to have a fully automated
security solutions generator to integrate security-by-design into the development practices,
especially for the Android platform. This research proposes a Machine Learning (ML) based
highly accurate method to detect Android source code vulnerabilities. A new labelled
dataset containing Android source code vulnerability samples was generated initially. The …

[PDF][PDF] POSTER: Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning

J Senanayake, H Kalutarage, MO Al-Kadri, A Petrovski… - 2022 - academia.edu
Mobile application developers sometimes might not be serious about source code security
and publish apps to the marketplaces. Therefore, it is essential to have a fully automated
security solutions generator to integrate security-by-design into the development practices,
especially for the Android platform. This research proposes a Machine Learning (ML) based
highly accurate method to detect Android source code vulnerabilities. A new labelled
dataset containing Android source code vulnerability samples was generated initially. The …
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