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Harsha K. Kalutarage
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2020 – today
- 2024
- [j16]Uneneibotejit Otokwala, Andrei Petrovski, Harsha Kalutarage:
Optimized common features selection and deep-autoencoder (OCFSDA) for lightweight intrusion detection in Internet of things. Int. J. Inf. Sec. 23(4): 2559-2581 (2024) - [j15]Janaka Senanayake
, Harsha Kalutarage
Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI. J. Inf. Secur. Appl. 82: 103741 (2024) - [j14]Gautam Srivastava
C-NEST: Cloudlet-Based Privacy Preserving Multidimensional Data Stream Approach for Healthcare Electronics. IEEE Trans. Consumer Electron. 70(1): 1556-1565 (2024) - [c33]Tharindu Lakshan Yasarathna
Cross-Validation for Detecting Label Poisoning Attacks: A Study on Random Forest Algorithm. SEC 2024: 451-464 - [e2]Sokratis K. Katsikas
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. Lecture Notes in Computer Science 14399, Springer 2024, ISBN 978-3-031-54128-5 [contents] - [i3]Craig Pirie, Harsha Kalutarage, Muhammad Shadi Hajar, Nirmalie Wiratunga, Subodha Charles, Geeth Sandaru Madhushan, Priyantha Buddhika, Supun Wijesiriwardana, Akila Dimantha, Kithdara Hansamal, Shalitha Pathiranage:
A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communities. CoRR abs/2407.15865 (2024) - [i2]Chamath Palihawadana, Nirmalie Wiratunga, Anjana Wijekoon, Harsha Kalutarage:
FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation. CoRR abs/2409.05242 (2024) - 2023
- [j13]Muhammad Shadi Hajar
3R: A reliable multi agent reinforcement learning based routing protocol for wireless medical sensor networks. Comput. Networks 237: 110073 (2023) - [j12]Idris Zakariyya
Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. Comput. Secur. 133: 103388 (2023) - [j11]Janaka Senanayake
Android Source Code Vulnerability Detection: A Systematic Literature Review. ACM Comput. Surv. 55(9): 187:1-187:37 (2023) - [j10]Sampath Rajapaksha
AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey. ACM Comput. Surv. 55(11): 237:1-237:40 (2023) - [j9]Sampath Rajapaksha
Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system. J. Inf. Secur. Appl. 77: 103570 (2023) - [c32]Muhammad Shadi Hajar, Harsha K. Kalutarage
RRP: A Reliable Reinforcement Learning Based Routing Protocol for Wireless Medical Sensor Networks. CCNC 2023: 781-789 - [c31]Janaka Senanayake
Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. DBSec 2023: 339-357 - [c30]Sampath Rajapaksha
Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis. ESORICS Workshops (2) 2023: 341-356 - [c29]Janaka Senanayake
FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI. ESORICS Workshops (2) 2023: 426-441 - [c28]Chamath Palihawadana
Mitigating Gradient Inversion Attacks in Federated Learning with Frequency Transformation. ESORICS Workshops (2) 2023: 750-760 - [c27]Janaka Senanayake
MADONNA: Browser-Based MAlicious Domain Detection Through Optimized Neural Network with Feature Analysis. SEC 2023: 279-292 - [c26]Janaka Senanayake
Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models. SECRYPT 2023: 659-666 - 2022
- [j8]Chamath Palihawadana
FedSim: Similarity guided model aggregation for Federated Learning. Neurocomputing 483: 432-445 (2022) - [c25]Idris Zakariyya
Resource Efficient Federated Deep Learning for IoT Security Monitoring. ADIoT 2022: 122-142 - [c24]Janaka Senanayake
Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning. AsiaCCS 2022: 1255-1257 - [c23]Muhammad Shadi Hajar
A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error. AI 2022: 789-799 - [c22]Idris Zakariyya
Robust, Effective and Resource Efficient Deep Neural Network for Intrusion Detection in IoT Networks. CPSS@AsiaCCS 2022: 41-51 - [c21]Sampath Rajapaksha, Harsha K. Kalutarage
Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security. CyCom 2022: 309-330 - [c20]Sampath Rajapaksha
AI-Powered Vulnerability Detection for Secure Source Code Development. SecITC 2022: 275-288 - [c19]Muhammad Shadi Hajar
DQR: A Double Q Learning Multi Agent Routing Protocol for Wireless Medical Sensor Network. SecureComm 2022: 611-629 - [e1]Sadiq Sani, Harsha K. Kalutarage:
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. CEUR Workshop Proceedings 3125, CEUR-WS.org 2022 [contents] - 2021
- [j7]Muhammad Shadi Hajar, M. Omar Al-Kadri
A survey on wireless body area networks: architecture, security challenges and research opportunities. Comput. Secur. 104: 102211 (2021) - [j6]Indika P. Wickramasinghe
Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation. Soft Comput. 25(3): 2277-2293 (2021) - [c18]Idris Zakariyya
Resource Efficient Boosting Method for IoT Security Monitoring. CCNC 2021: 1-6 - [c17]Uneneibotejit Otokwala, Andrei Petrovski, Harsha K. Kalutarage
Improving Intrusion Detection Through Training Data Augmentation. SIN 2021: 1-8 - [c16]Muhammad Shadi Hajar, Harsha K. Kalutarage
TrustMod: A Trust Management Module For NS-3 Simulator. TrustCom 2021: 51-60 - 2020
- [c15]Muhammad Shadi Hajar
ETAREE: An Effective Trend-Aware Reputation Evaluation Engine for Wireless Medical Sensor Networks. CNS 2020: 1-9 - [c14]Muhammad Shadi Hajar, M. Omar Al-Kadri
LTMS: A Lightweight Trust Management System for Wireless Medical Sensor Networks. TrustCom 2020: 1783-1790
2010 – 2019
- 2019
- [c13]Harsha Kumara Kalutarage
Context-aware Anomaly Detector for Monitoring Cyber Attacks on Automotive CAN Bus. CSCS 2019: 7:1-7:8 - [c12]Idris Zakariyya
Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm. ICETE (2) 2019: 523-528 - [c11]Guanbo Jia, Paul Miller, Xin Hong, Harsha K. Kalutarage
Anomaly Detection in Network Traffic Using Dynamic Graph Mining with a Sparse Autoencoder. TrustCom/BigDataSE 2019: 458-465 - 2018
- [j5]Bharat S. Rawal, Songjie Liang, Shiva Gautam, Harsha Kumara Kalutarage
Nth Order Binary Encoding with Split-Protocol. Int. J. Rough Sets Data Anal. 5(2): 95-118 (2018) - [c10]Andrew Tomlinson
Detection of Automotive CAN Cyber-Attacks by Identifying Packet Timing Anomalies in Time Windows. DSN Workshops 2018: 231-238 - 2017
- [j4]Harsha Kumara Kalutarage
Towards a threat assessment framework for apps collusion. Telecommun. Syst. 66(3): 417-430 (2017) - [c9]Ivan Palomares
A fuzzy multicriteria aggregation method for data analytics: Application to insider threat monitoring. IFSA-SCIS 2017: 1-6 - 2016
- [j3]Siraj Ahmed Shaikh
Effective network security monitoring: from attribution to target-centric monitoring. Telecommun. Syst. 62(1): 167-178 (2016) - [c8]Irina Mariuca Asavoae, Jorge Blasco, Thomas M. Chen, Harsha Kumara Kalutarage, Igor Muttik, Hoang Nga Nguyen, Markus Roggenbach, Siraj Ahmed Shaikh:
Towards Automated Android App Collusion Detection. IMPS@ESSoS 2016: 29-37 - [c7]Bharat S. Rawal, Harsha K. Kalutarage
The Disintegration Protocol: An Ultimate Technique for Cloud Data Security. SmartCloud 2016: 27-34 - [i1]Irina Mariuca Asavoae, Jorge Blasco, Thomas M. Chen, Harsha Kumara Kalutarage, Igor Muttik, Hoang Nga Nguyen, Markus Roggenbach, Siraj Ahmed Shaikh:
Towards Automated Android App Collusion Detection. CoRR abs/1603.02308 (2016) - 2015
- [j2]Harsha K. Kalutarage
Detecting stealthy attacks: Efficient monitoring of suspicious activities on computer networks. Comput. Electr. Eng. 47: 327-344 (2015) - [j1]Alexeis Garcia-Perez
Towards a knowledge-based approach for effective decision-making in railway safety. J. Knowl. Manag. 19(3): 641-659 (2015) - [c6]Harsha Kumara Kalutarage
Towards an Early Warning System for Network Attacks Using Bayesian Inference. CSCloud 2015: 399-404 - [c5]Harsha K. Kalutarage
Early Warning Systems for Cyber Defence. iNetSeC 2015: 29-42 - 2013
- [b1]Harsha K. Kalutarage:
Effective monitoring of slow suspicious activites on computer networks. Coventry University, UK, 2013 - [c4]Harsha K. Kalutarage
Monitoring for Slow Suspicious Activities Using a Target Centric Approach. ICISS 2013: 163-168 - [c3]Harsha K. Kalutarage
Tracing Sources of Anonymous Slow Suspicious Activities. NSS 2013: 122-134 - 2012
- [c2]Harsha K. Kalutarage, Siraj A. Shaikh, Qin Zhou, Anne E. James:
Sensing for suspicion at scale: A Bayesian approach for cyber conflict attribution and reasoning. CyCon 2012: 1-19 - [c1]Harsha K. Kalutarage
A Certification Process for Android Applications. SEFM Satellite Events 2012: 288-303
Coauthor Index
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last updated on 2024-10-16 20:26 CEST by the dblp team
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