Dr. Kushan Sudheera

About

Kalupahana Liyanage Kushan Sudheera received his B.Sc. Eng. (First Class Honors) and PhD degrees from University of Ruhuna, Sri Lanka in 2015 and Nanyang Technological University, Singapore in 2020, respectively. He then worked as a postdoctoral research fellow at NUS-Singtel Cyber Security Lab, School of Computing, National University of Singapore for two years. He is currently a Senior Lecturer in the Department of Electrical and Information Engineering, Faculty of Engineering, University of Ruhuna, Sri Lanka. His research interests mainly include Software Defined Networking, Vehicular Ad-hoc Networks, Internet of Things/Vehicles, Mobile/Wireless Networks, Optimization methods, Software Engineering.

Employment

• University of Ruhuna Faculty of Engineering Senior Lecturer
  2021 - Present
• National University of Singapore Research Fellow
  2019 - 2021
• University of Ruhuna Faculty of Engineering Lecturer
  2015 - 2015

Education

• Nanyang Technological University PhD
  2015 - 2019
• University of Ruhuna Faculty of Engineering B.Sc. (Engineering)
  2010 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (28)

• BQLLDA: A blockchain, Q-learning, and hybrid post-quantum cryptography-driven adaptive framework with consensus-based trust management to mitigate zero-trust link discovery attacks in SDVNs
  Computer Networks 2026 DOI: 10.1016/j.comnet.2026.112574
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• LAERS: Load-aware efficient routing scheme in hierarchical software defined vehicular networks
  Madhuri Malakar, Judhistir Mahapatro, Kalupahana Liyanage Kushan Sudheera +1 more
  Vehicular Communications 2026 DOI: 10.1016/j.vehcom.2026.101017
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• Federated Learning and Data Mining-Based Botnet Attack Detection Framework for Internet of Things
  Sensors 2026 DOI: 10.3390/s26051573
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• RQSMR: Reinforcement learning-based path dynamics and QoS-aware multipath flow routing in software-defined vehicular networking
  Computer Networks 2026 DOI: 10.1016/j.comnet.2026.111993
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• Efficient Post-Processing of Intrusion Detection Alerts Using Data Mining and Clustering
  Proceedings of the International Conference on Security and Cryptography 2025 DOI: 10.5220/0013558700003979
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• Artificial Intelligence and IoT in Elderly Fall Prevention: A Review
  IEEE Sensors Journal 2024 DOI: 10.1109/JSEN.2023.3344605
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• Federated Learning and Data Mining based Botnet Attack Detection Framework for Internet of Things
  Research Square 2024 DOI: 10.21203/rs.3.rs-5365489/v1
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• An Optimization Framework for Data Collection in Software Defined Vehicular Networks
  Sensors 2023 DOI: 10.3390/s23031600
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• Automatic Assessment of Aphasic Speech Sensed by Audio Sensors for Classification into Aphasia Severity Levels to Recommend Speech Therapies
  Sensors 2022 DOI: 10.3390/s22186966
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• APEX: Characterizing Attack Behaviors from Network Anomalies
  2022 DOI: 10.36227/techrxiv.19070195
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• APEX: Characterizing Attack Behaviors from Network Anomalies
  2022 DOI: 10.36227/techrxiv.19070195.v2
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• A Safety-Aware Real-Time Air Traffic Flow Management Model Under Demand and Capacity Uncertainties
  IEEE Transactions on Intelligent Transportation Systems 2022 DOI: 10.1109/TITS.2021.3083964
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• APEX: Characterizing Attack Behaviors from Network Anomalies
  2022 DOI: 10.36227/techrxiv.19070195.v1
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• Real-time cooperative data routing and scheduling in software defined vehicular networks
  Computer Communications 2022 DOI: 10.1016/j.comcom.2021.10.003
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• Two-Stage Scalable Air Traffic Flow Management Model Under Uncertainty
  IEEE Transactions on Intelligent Transportation Systems 2021 DOI: 10.1109/TITS.2020.3001000
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• ADEPT: Detection and Identification of Correlated Attack Stages in IoT Networks
  IEEE Internet of Things Journal 2021 DOI: 10.1109/JIOT.2021.3055937
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• Application-Aware Hierarchical Offloading for MEC-Enabled Autonomous Vehicle Architecture
  2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings 2020 DOI: 10.1109/GCWkshps50303.2020.9367480
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• Flow-based Flight Routing and Scheduling under Uncertainty
  IFAC Papersonline 2020 DOI: 10.1016/j.ifacol.2020.12.2000
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• Generative Adversarial Network and Auto Encoder based Anomaly Detection in Distributed IoT Networks
  2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings 2020 DOI: 10.1109/GLOBECOM42002.2020.9348244
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• Privacy-Aware Switch-Controller Mapping in SDN-Based IoT Networks
  2020 International Conference on COMmunication Systems and NETworkS, COMSNETS 2020 2020 DOI: 10.1109/COMSNETS48256.2020.9027467
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