Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security. - Sampath Rajapaksha; Harsha K. Kalutarage; M. Omar Al-Kadri; Garikayi Madzudzo; Andrei V. Petrovski (CyCom, 2022)

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

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)

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)

Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system. - Sampath Rajapaksha; Harsha Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Garikayi Madzudzo (J. Inf. Secur. Appl., 2023)

AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey. - Sampath Rajapaksha; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Garikayi Madzudzo; Madeline Cheah (ACM Comput. Surv., 2023)

A RAG-Based Question-Answering Solution for Cyber-Attack Investigation and Attribution. - Sampath Rajapaksha; Ruby Rani; Erisa Karafili (ESORICS Workshops (2), 2024)

AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset. - Pritam Deka; Sampath Rajapaksha; Ruby Rani; Amirah Almutairi; Erisa Karafili (WISE (5), 2024)

CAN-MIRGU. - Sampath Rajapaksha (UCI-MLR, 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)