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Moorthy Agoramoorthy

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Conference Aug 2026

A Privacy-Aware Blockchain Ecosystem for Scalable and Reliable Fraud Prevention

The growing complexity of financial fraud, including identity theft, synthetic identity creation, account takeover, payment manipulation and money laundering has revealed basic constraints of the traditional fraud prevention architecture. The operational simplicity offered by centralized systems based on rules creates...

K. D., Moorthy Agoramoorthy · 0 citations
Conference Aug 2026

Decentralized and Tamper-Proof Data Sharing Framework Using Blockchain for Enhanced Smart Healthcare Security

Providing security, privacy, and integrity to sensitive medical data in the contemporary healthcare systems is an issue that is very pressing during the digital health age. The growing use of smart healthcare technologies, electronic health records (EHRs), and Internet of Medical Things (IoMT) devices has increased the...

S. Sreesubha, Moorthy Agoramoorthy · 0 citations
Conference Aug 2026

A Blockchain-Based Secure Framework for Real-Time Patient Data Sharing in Smart Healthcare Systems

High rate of digitalization of the healthcare systems has led to the creation of huge amounts of sensitive patient information that need to be safely disseminated among healthcare providers. Nevertheless, the use of the traditional centralized healthcare information systems is associated with major difficulties associa...

S. Sreesubha, Moorthy Agoramoorthy · 0 citations
Conference Aug 2026

Blockchain-Enabled Supply Chain Traceability Using Hybrid Cryptographic Models for Sustainable and Secure Global Trade

Globalization of trade has presented serious challenges of management of supply chain such as, lack of transparency, counterfeit products, ineffective tracking and data security vulnerability. The traditional centralized traceability systems have not given the end-to-end visibility and trust between distributed stakeho...

Farjana U, C. Sivasankar, Moorthy Agoramoorthy · 0 citations
Conference Jul 2026

Cross-Modal Transformer Networks for Unified Intelligence in Multi-Sensor IoT Systems

The emergence of multi-sensor Internet of Things (IoT) deployments has led to an immediate demand to have unified intelligence models that can take advantage of heterogeneous data modalities, such as time-series sensor readings, visual data, audio streams as well as contextual metadata, to form incoherent understanding...

Selvin Pradeep Kumar S, Lourdu Mahimai Doss, L. S et al. · 0 citations
Conference Jul 2026

Continual Learning Framework for Drift-Resilient and Autonomous IoT Intelligence

The ubiquitous use of Internet of Things (IoT) system in dynamic and real-life contexts presents a high level of challenges because of the constant changes in the data distributions, otherwise known as concept drift. The conventional machine learning models that are implemented in IoT systems are usually trained in sta...

T.Muthumanickam, L. S, D. Jayalakshmi et al. · 0 citations

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