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Janaka Senanayake
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Android mobile malware detection using machine learning: A systematic review
J Senanayake, H Kalutarage, MO Al-Kadri
Electronics 10 (13), 1606, 2021
982021
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
642023
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
142022
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
102022
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
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
82023
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
62024
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
62023
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
22023
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
MADONNA: Browser-based malicious domain detection using Optimized Neural Network by leveraging AI and feature analysis
J Senanayake, S Rajapaksha, N Yanai, H Kalutarage, C Komiya
Computers & Security, 104371, 2025
2025
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
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