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cs.CR2025
Enhancing IoT Network Security through Adaptive Curriculum Learning and XAI
Sathwik Narkedimilli, Sujith Makam, Amballa Venkata Sriram +3
To address the critical need for secure IoT networks, this study presents a scalable and lightweight curriculum learning framework enhanced with Explainable AI (XAI) techniques, in…
cs.CR2025
FAPL-DM-BC: A Secure and Scalable FL Framework with Adaptive Privacy and Dynamic Masking, Blockchain, and XAI for the IoVs
Sathwik Narkedimilli, Amballa Venkata Sriram, Sujith Makam +2
The FAPL-DM-BC solution is a new FL-based privacy, security, and scalability solution for the Internet of Vehicles (IoV). It leverages Federated Adaptive Privacy-Aware Learning (FA…
cs.CR2024
FL-DABE-BC: A Privacy-Enhanced, Decentralized Authentication, and Secure Communication for Federated Learning Framework with Decentralized Attribute-Based Encryption and Blockchain for IoT Scenarios
Sathwik Narkedimilli, Amballa Venkata Sriram, Satvik Raghav
This study proposes an advanced Federated Learning (FL) framework designed to enhance data privacy and security in IoT environments by integrating Decentralized Attribute-Based Enc…