Harsha K. Kalutarage

34 papers A 1B 4C 3Misc 2Journal 7Unranked 14

Year	Rank	Type	Title / Venue / Authors
2024	—	`ed.`	Computer Security. ESORICS 2023 International Workshops - CPS4CIP, ADIoT, SecAssure, WASP, TAURIN, PriST-AI, and SECAI, The Hague, The Netherlands, September 25-29, 2023, Revised Selected Papers, Part II ESORICS Workshops (2) Sokratis K. Katsikas, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Rita Maria Ugarelli, Isabel Praça, Wenjuan Li, Weizhi Meng, Steven Furnell, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, Michele Ianni, Mila Dalla Preda, Kim-Kwang Raymond Choo, Miguel Pupo Correia, Abhishta Abhishta, Giovanni Sileno, Mina Alishahi, Harsha K. Kalutarage, Naoto Yanai
2023	J	`jnl`	AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey. ACM Comput. Surv. Sampath Rajapaksha, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Garikayi Madzudzo, Madeline Cheah
2023	B	`conf`	Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. DBSec Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras
2023	J	`jnl`	Android Source Code Vulnerability Detection: A Systematic Literature Review. ACM Comput. Surv. Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras
2023	C	`conf`	Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models. SECRYPT Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Luca Piras, Andrei Petrovski
2023	—	`conf`	RRP: A Reliable Reinforcement Learning Based Routing Protocol for Wireless Medical Sensor Networks. CCNC Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri
2023	J	`jnl`	Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. Comput. Secur. Idris Zakariyya, Harsha K. Kalutarage, M. Omar Al-Kadri
2022	Misc	`conf`	A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error. AI Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri
2022	—	`conf`	AI-Powered Vulnerability Detection for Secure Source Code Development. SecITC Sampath Rajapaksha, Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri
2022	C	`conf`	DQR: A Double Q Learning Multi Agent Routing Protocol for Wireless Medical Sensor Network. SecureComm Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri
2022	A	`conf`	Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning. AsiaCCS Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei V. Petrovski, Luca Piras
2022	J	`jnl`	FedSim: Similarity guided model aggregation for Federated Learning. Neurocomputing Chamath Palihawadana, Nirmalie Wiratunga, Anjana Wijekoon, Harsha K. Kalutarage
2022	—	`conf`	Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security. CyCom Sampath Rajapaksha, Harsha K. Kalutarage, M. Omar Al-Kadri, Garikayi Madzudzo, Andrei V. Petrovski
2022	—	`ed.`	Proceedings of the Workshop on AI and Cybersecurity (AI-Cybersec 2021) co-located with 41st SGAI International Conference on Artificial Intelligence (SGAI 2021), Cambridge, United Kingdom, December 14th, 2021. AI-Cybersec@SGAI Sadiq Sani, Harsha K. Kalutarage
2022	—	`conf`	Resource Efficient Federated Deep Learning for IoT Security Monitoring. ADIoT Idris Zakariyya, Harsha K. Kalutarage, M. Omar Al-Kadri
2022	—	`conf`	Robust, Effective and Resource Efficient Deep Neural Network for Intrusion Detection in IoT Networks. CPSS@AsiaCCS Idris Zakariyya, Harsha K. Kalutarage, M. Omar Al-Kadri
2021	C	`conf`	Improving Intrusion Detection Through Training Data Augmentation. SIN Uneneibotejit Otokwala, Andrei Petrovski, Harsha K. Kalutarage
2021	J	`jnl`	Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation. Soft Comput. Indika P. Wickramasinghe, Harsha K. Kalutarage
2021	—	`conf`	Resource Efficient Boosting Method for IoT Security Monitoring. CCNC Idris Zakariyya, M. Omar Al-Kadri, Harsha K. Kalutarage
2021	B	`conf`	TrustMod: A Trust Management Module For NS-3 Simulator. TrustCom Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri
2020	—	`conf`	ETAREE: An Effective Trend-Aware Reputation Evaluation Engine for Wireless Medical Sensor Networks. CNS Muhammad Shadi Hajar, M. Omar Al-Kadri, Harsha K. Kalutarage
2020	B	`conf`	LTMS: A Lightweight Trust Management System for Wireless Medical Sensor Networks. TrustCom Muhammad Shadi Hajar, M. Omar Al-Kadri, Harsha K. Kalutarage
2019	—	`conf`	Anomaly Detection in Network Traffic Using Dynamic Graph Mining with a Sparse Autoencoder. TrustCom/BigDataSE Guanbo Jia, Paul Miller, Xin Hong, Harsha K. Kalutarage, Tao Ban
2019	—	`conf`	Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm. ICETE (2) Idris Zakariyya, M. Omar Al-Kadri, Harsha K. Kalutarage, Andrei Petrovski
2017	—	`conf`	A fuzzy multicriteria aggregation method for data analytics: Application to insider threat monitoring. IFSA-SCIS Ivan Palomares, Harsha K. Kalutarage, Yan Huang, Paul Miller, Robert McCausland, Gavin McWilliams
2016	—	`conf`	The Disintegration Protocol: An Ultimate Technique for Cloud Data Security. SmartCloud Bharat S. Rawal, Harsha K. Kalutarage, S. Sree Vivek, Kamlendu Kumar Pandey
2015	J	`jnl`	Detecting stealthy attacks: Efficient monitoring of suspicious activities on computer networks. Comput. Electr. Eng. Harsha K. Kalutarage, Siraj Ahmed Shaikh, Indika P. Wickramasinghe, Qin Zhou, Anne E. James
2015	—	`conf`	Early Warning Systems for Cyber Defence. iNetSeC Harsha K. Kalutarage, Siraj Ahmed Shaikh, Bu-Sung Lee, Chonho Lee, Chai Kiat Yeo
2015	J	`jnl`	Towards a knowledge-based approach for effective decision-making in railway safety. J. Knowl. Manag. Alexeis Garcia-Perez, Siraj Ahmed Shaikh, Harsha K. Kalutarage, Mahsa Jahantab
2013	—	`—`	Effective monitoring of slow suspicious activites on computer networks. Harsha K. Kalutarage
2013	Misc	`conf`	Monitoring for Slow Suspicious Activities Using a Target Centric Approach. ICISS Harsha K. Kalutarage, Siraj A. Shaikh, Qin Zhou, Anne E. James
2013	B	`conf`	Tracing Sources of Anonymous Slow Suspicious Activities. NSS Harsha K. Kalutarage, Siraj A. Shaikh, Qin Zhou, Anne E. James
2012	—	`conf`	A Certification Process for Android Applications. SEFM Satellite Events Harsha K. Kalutarage, Padmanabhan Krishnan, Siraj Ahmed Shaikh
2012	—	`conf`	Sensing for suspicion at scale: A Bayesian approach for cyber conflict attribution and reasoning. CyCon Harsha K. Kalutarage, Siraj A. Shaikh, Qin Zhou, Anne E. James