Published Works
Works I have done and published
An Integrated Smart Contract Vulnerability Detection Tool Using Multi-Layer Perceptron on Real-Time Solidity Smart Contracts
Smart contract vulnerabilities persist. We propose an efficient MLP-based detection algorithm using Opcode and CFG features. Key contributions include standardized data preprocessing, AST-based bug injection for balanced datasets across Solidity versions, and SWC registry for vulnerability identification. Our model achieves up to 91% accuracy with a low 0.0125 FPR.
ieeexplore.ieee.org
Software-defined Reliable Quantum Routing Protocol in a Quantum-Classical Hybrid Network (In review)
To enable reliable quantum internet, we propose a central planner-based softwarized routing solution using NV-center diamonds for enhanced entanglement distribution over noisy channels. Implemented via Netsquid, our algorithm requires 96% fewer attempts and achieves higher fidelity (avg. 84.7%) and throughput (up to 48.5% more) than greedy approaches.
(In review)
Resilient Decentralized Federated Learning Framework for 5G/6G
To address security and scalability issues in Federated Learning for edge networks, we propose a Resilient Decentralized Federated Learning (RDFL) framework. RDFL uses a two-layer ledger, trust mechanism, and Trimmed Mean validation. It shows strong poisoning resilience (91.98% fewer malicious devices) and maintains ~94.6% accuracy during attacks.
(In review)