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Samantha Tharani Jeyakumar
Samantha Tharani Jeyakumar
Lecturer (Probationary), Department of Computer Science, University of Jaffna.
Verified email at univ.jfn.ac.lk - Homepage
Title
Cited by
Cited by
Year
Graph based visualisation techniques for analysis of blockchain transactions
JS Tharani, EYA Charles, Z Hóu, M Palaniswami, V Muthukkumarasamy
2021 IEEE 46th Conference on Local Computer Networks (LCN), 427-430, 2021
172021
Understanding phishers' strategies of mimicking uniform resource locators to leverage phishing attacks: A machine learning approach
JS Tharani, NAG Arachchilage
Security and Privacy 3 (5), e120, 2020
132020
A UI/UX Evaluation Framework for Blockchain-Based Applications
JS Tharani, D Zelenyanszki, V Muthukkumarasamy
International Conference on Blockchain, 48-60, 2022
32022
A blockchain-based database management system
J Samantha Tharani, M Tharmakulasingam, V Muthukkumarasamy.
The Knowledge Engineering Review 35, 2020
32020
A framework for user-centric visualisation of blockchain transactions in critical infrastructure
ST Jeyakumar, R Ko, V Muthukkumarasamy
Proceedings of the 5th ACM International Symposium on Blockchain and Secure …, 2023
22023
Feature Engineering for Anomaly Detection and Classification of Blockchain Transactions
S Jeyakumar, E Yugarajah, A Charles, P Rathore, M PALANISWAMI, ...
Authorea Preprints, 2023
12023
Detecting Malicious Blockchain Transactions Using Graph Neural Networks
ST Jeyakumar, AC Eugene Yugarajah, Z Hóu, V Muthukkumarasamy
International Symposium on Distributed Ledger Technology, 55-71, 2023
2023
Visualizing Blockchain Transaction Behavioural Pattern: A Graph-based Approach
S Jeyakumar, Z Hóu, E Yugarajah, A Charles, M PALANISWAMI, ...
Authorea Preprints, 2023
2023
Introduction to blockchain technology with Bitcoin protocol
B Pillai, JS Tharani, Z Hóu, K Biswas, V Muthukkumarasamy
Emerging Smart Technologies for Critical Infrastructure, 119-137, 2023
2023
Feature Engineering for Anomaly Detection and Classification of Blockchain Transactions
JS Tharani, Z Hóu, EYA Charles, P Rathore, M Palaniswami, ...
Detecting Malicious Blockchain Transactions Using Graph Neural Networks
JS Tharani, E Yugarajah
A Graph-Based Visual Modeling for Enhancing Suspicious Node Detection in Blockchain Networks
S Jeyakumar, EYA Charles, Z Hou, M Palaniswami, ...
Available at SSRN 4605929, 0
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