| Android mobile malware detection using machine learning: A systematic review J Senanayake, H Kalutarage, MO Al-Kadri Electronics 10 (13), 1606, 2021 | 94 | 2021 |
| 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 | 51 | 2023 |
| 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 | 14 | 2022 |
| 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 | 10 | 2022 |
| 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 | 9 | 2020 |
| 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 | 8 | 2020 |
| 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 | 6 | 2023 |
| 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 | 5 | 2023 |
| 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 | 5 | 2018 |
| 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 | 3 | 2024 |
| 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 | 3 | 2022 |
| 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 | 3 | 2021 |
| 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 | 2 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| MedCode: A Blockchain Based Patient Referral System K Lokuge, D Wickramaarachchi, JMD Senanayake Department of Computing and Information Systems, Faculty of Applied Sciences …, 2021 | 1 | 2021 |
| 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 | 1 | 2019 |
| Android Source Code Vulnerability Detection: A Systematic Literature J SENANAYAKE, MHDO AL-KADRI, L PIRAS | | 2022 |
| 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 |
Harsha KalutarageSchool of Computing, Robert Gordon University, Aberdeen, UK在 rgu.ac.uk 的电子邮件经过验证
