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Harsha Kalutarage
Harsha Kalutarage
School of Computing, Robert Gordon University, Aberdeen, UK
Email verificata su rgu.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation
I Wickramasinghe, H Kalutarage
Soft Computing 25 (3), 2277-2293, 2021
2312021
A survey on wireless body area networks: Architecture, security challenges and research opportunities
MS Hajar, MO Al-Kadri, HK Kalutarage
Computers & Security 104, 102211, 2021
1522021
AI-based Intrusion Detection Systems for In-Vehicle Networks: A Survey
S Rajapaksha, H Kalutarage, MO Al-Kadri, A Petrovski, G Madzudzo, ...
ACM Computing Surveys, 2022
972022
Android mobile malware detection using machine learning: A systematic review
J Senanayake, H Kalutarage, MO Al-Kadri
Electronics 10 (13), 1606, 2021
952021
Detection of automotive CAN cyber-attacks by identifying packet timing anomalies in time windows
A Tomlinson, J Bryans, SA Shaikh, HK Kalutarage
2018 48th Annual IEEE/IFIP international conference on dependable systems …, 2018
702018
Android Source Code Vulnerability Detection: A Systematic Literature Review
J Senanayake, H Kalutarage, MO Al-Kadri, A Petrovski, L Piras
ACM Computing Surveys (CSUR), 2022
522022
Fedsim: Similarity guided model aggregation for federated learning
C Palihawadana, N Wiratunga, A Wijekoon, H Kalutarage
Neurocomputing 483, 432-445, 2022
522022
Keep the moving vehicle secure: Context-aware intrusion detection system for in-vehicle CAN bus security
S Rajapaksha, H Kalutarage, MO Al-Kadri, G Madzudzo, AV Petrovski
2022 14th International Conference on Cyber Conflict: Keep Moving!(CyCon …, 2022
33*2022
Context-aware anomaly detector for monitoring cyber attacks on automotive CAN bus
HK Kalutarage, MO Al-Kadri, M Cheah, G Madzudzo
Proceedings of the 3rd ACM Computer Science in Cars Symposium, 1-8, 2019
322019
Towards automated Android app collusion detection
IM Asavoae, J Blasco, TM Chen, HK Kalutarage, I Muttik, HN Nguyen, ...
CoRR, abs/1603.02308, 2016
26*2016
Sensing for suspicion at scale: A bayesian approach for cyber conflict attribution and reasoning
HK Kalutarage, SA Shaikh, Q Zhou, AE James
2012 4th International Conference on Cyber Conflict (CYCON 2012), 1-19, 2012
212012
Towards a knowledge-based approach for effective decision-making in railway safety
A Garcia-Perez, SA Shaikh, HK Kalutarage, M Jahantab
Journal of knowledge Management 19 (3), 641-659, 2015
202015
Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring
I Zakariyya, H Kalutarage, MO Al-Kadri
Computers & Security 133, 103388, 2023
182023
Towards a threat assessment framework for apps collusion
HK Kalutarage, HN Nguyen, SA Shaikh
Telecommunication Systems, 1-14, 2017
182017
Detecting stealthy attacks: Efficient monitoring of suspicious activities on computer networks, Computers & Electrical Engineering
HK Kalutarage, SA Shaikh, IP Wickramasinghe, Q Zhou, AE James
Computers & Electrical Engineering, 2015
182015
Nth order binary encoding with split-protocol
BS Rawal, S Liang, S Gautam, HK Kalutarage, P Vijayakumar
International Journal of Rough Sets and Data Analysis (IJRSDA) 5 (2), 95-118, 2018
152018
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
Ltms: A lightweight trust management system for wireless medical sensor networks
MS Hajar, MO Al-Kadri, H Kalutarage
2020 IEEE 19th International Conference on Trust, Security and Privacy in …, 2020
132020
A Fuzzy Multicriteria Aggregation method for Data Analytics: application to Insider Threat Monitoring
I Palomares, H Kalutarage, Y Huang, P Miller, R McCausland, ...
IFSA-SCIS 2017, 2017
122017
Resource efficient boosting method for IoT security monitoring
I Zakariyya, MO Al-Kadri, H Kalutarage
2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC …, 2021
112021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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