Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei V. Petrovski; Luca Piras 003 (AsiaCCS, 2022)

AI-Powered Vulnerability Detection for Secure Source Code Development. - Sampath Rajapaksha; Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri (SecITC, 2022)

Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Luca Piras 003 (DBSec, 2023)

Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis. - Sampath Rajapaksha; Janaka Senanayake; Harsha Kalutarage; M. Omar Al-Kadri (ESORICS Workshops (2), 2023)

FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI. - Janaka Senanayake; Harsha Kalutarage; Andrei Petrovski 001; M. Omar Al-Kadri; Luca Piras 003 (ESORICS Workshops (2), 2023)

MADONNA: Browser-Based MAlicious Domain Detection Through Optimized Neural Network with Feature Analysis. - Janaka Senanayake; Sampath Rajapaksha; Naoto Yanai; Chika Komiya; Harsha Kalutarage (SEC, 2023)

Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Luca Piras 003; Andrei Petrovski 001 (SECRYPT, 2023)

Android Source Code Vulnerability Detection: A Systematic Literature Review. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Luca Piras 003 (ACM Comput. Surv., 2023)

Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection. - Janaka Senanayake; Harsha Kalutarage; Luca Piras 003; Mhd Omar Al-Kadri; Andrei Petrovski 001 (ESORICS Workshops (2), 2024)

Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI. - Janaka Senanayake; Harsha Kalutarage; Andrei Petrovski 001; Luca Piras 003; M. Omar Al-Kadri (J. Inf. Secur. Appl., 2024)

MADONNA: Browser-based malicious domain detection using Optimized Neural Network by leveraging AI and feature analysis. - Janaka Senanayake; Sampath Rajapaksha; Naoto Yanai; Harsha Kalutarage; Chika Komiya (Comput. Secur., 2025)

Cutting-edge approaches in intrusion detection systems: a systematic review of deep learning, reinforcement learning, and ensemble techniques. - Nethma Kalpani; Nureka Rodrigo; Dilmi Seneviratne; Subhash Ariyadasa; Janaka Senanayake (Iran J. Comput. Sci., 2025)