Janaka Senanayake

According to our database, Janaka Senanayake authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 2025

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

2024

Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI.

Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, Luca Piras, M. Omar Al-Kadri

J. Inf. Secur. Appl., 2024

Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection.

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

Proceedings of the Computer Security. ESORICS 2024 International Workshops, 2024

2023

Android Source Code Vulnerability Detection: A Systematic Literature Review.

Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras

ACM Comput. Surv., 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, Andrei Petrovski

Proceedings of the 20th International Conference on Security and Cryptography, 2023

MADONNA: Browser-Based MAlicious Domain Detection Through Optimized Neural Network with Feature Analysis.

Janaka Senanayake, Sampath Rajapaksha, Naoto Yanai, Chika Komiya, Harsha Kalutarage

Proceedings of the ICT Systems Security and Privacy Protection, 2023

FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI.

Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, M. Omar Al-Kadri, Luca Piras

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 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

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin.

Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras

Proceedings of the Data and Applications Security and Privacy XXXVII, 2023

2022

AI-Powered Vulnerability Detection for Secure Source Code Development.

Sampath Rajapaksha, Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri

Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2022

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

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022