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Janaka Senanayake
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Year
Android mobile malware detection using machine learning: A systematic review
J Senanayake, H Kalutarage, MO Al-Kadri
Electronics 10 (13), 1606, 2021
1022021
Android source code vulnerability detection: a systematic literature review
J Senanayake, H Kalutarage, MO Al-Kadri, A Petrovski, L Piras
ACM Computing Surveys 55 (9), 1-37, 2023
632023
Developing secured android applications by mitigating code vulnerabilities with machine learning
J Senanayake, H Kalutarage, MO Al-Kadri, A Petrovski, L Piras
Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022
152022
Ai-powered vulnerability detection for secure source code development
S Rajapaksha, J Senanayake, H Kalutarage, MO Al-Kadri
International Conference on Information Technology and Communications …, 2022
112022
Minimization of fraudulent activities in land authentication through Blockchain-based system
L Jayabodhi, C Rajapakse, JMD Senanayake
2020 International Research Conference on Smart Computing and Systems …, 2020
92020
A microtransaction model based on blockchain technology to improve service levels in public transport sector in Sri Lanka
SA Jayalath, C Rajapakse, JMD Senanayake
2020 International Research Conference on Smart Computing and Systems …, 2020
92020
Labelled Vulnerability Dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models.
J Senanayake, H Kalutarage, MO Al-Kadri, L Piras, A Petrovski
SciTePress, 2023
72023
Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin
J Senanayake, H Kalutarage, MO Al-Kadri, A Petrovski, L Piras
IFIP Annual Conference on Data and Applications Security and Privacy, 339-357, 2023
72023
Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI
J Senanayake, H Kalutarage, A Petrovski, L Piras, MO Al-Kadri
Journal of Information Security and Applications 82, 103741, 2024
52024
Applicability Of Crowd Sourcing To Determine The Best Transportation Method By Analysing User Mobility
JMD Senanayake, WMJI Wijayanayake
International Journal of Data Mining & Knowledge Management Process (IJDKP …, 2018
52018
Detection of IoT malware based on forensic analysis of network traffic features
N Nimalasingam, J Senanayake, C Rajapakse
2022 International Research Conference on Smart Computing and Systems …, 2022
32022
LYZGen: A mechanism to generate leads from Generation Y and Z by analysing web and social media data
J Senanayake, N Pathirana
2021 International Research Conference on Smart Computing and Systems …, 2021
32021
Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis
S Rajapaksha, J Senanayake, H Kalutarage, MO Al-Kadri
European Symposium on Research in Computer Security, 341-356, 2023
22023
FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI
J Senanayake, H Kalutarage, A Petrovski, MO Al-Kadri, L Piras
European Symposium on Research in Computer Security, 426-441, 2023
22023
MADONNA: Browser-Based MAlicious Domain Detection Through Optimized Neural Network with Feature Analysis
J Senanayake, S Rajapaksha, N Yanai, C Komiya, H Kalutarage
IFIP International Conference on ICT Systems Security and Privacy Protection …, 2023
12023
MedCode: A Blockchain Based Patient Referral System
K Lokuge, D Wickramaarachchi, JMD Senanayake
Department of Computing and Information Systems, Faculty of Applied Sciences …, 2021
12021
Developing a Lead Generation Mechanism to Identify People’s Contact Points Using Web Data Analytics
JMD Senanayake, WPNH Pathirana
International Research Conference (ICRUWU 2019), Uva Wellassa University …, 2019
12019
Devsecops for Continuous Security in Trading Software Application Development: a Systematic Literature Review
S Dasanayake, J Senanayake, W Wijayanayake
Journal of desk research review and analysis 2 (2), 2025
2025
Estimation of the incubation period of COVID-19 using boosted random forest algorithm
P Rathnayake, J Senanayake, D Wickramaarachchi
2021 International Research Conference on Smart Computing and Systems …, 2021
2021
Prediction of the incubation period of COVID-19 patients using machine learning techniques
P Rathnayake, DN Wickramaarachchi, JMD Senanayake
Faculty of Science, University of Kelaniya, Sri Lanka, 2020
2020
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