Research & Publications
Academic research, peer-reviewed papers, and ongoing investigations.
Published Papers
Enhancing IoT Device Security Using Zero-Knowledge Proofs: A Privacy-Preserving Authentication Approach
Aditya Mourya
The exponential growth of IoT devices has created unprecedented security challenges, particularly in device authentication where traditional methods expose sensitive credentials and lack scalability. This paper presents a comprehensive authentication framework integrating Zero-Knowledge Proofs (ZKPs) with Physical Unclonable Functions (PUFs) to achieve privacy preserving device authentication. Our framework employs zk-SNARKs for efficient proof generation and verification while leveraging PUF-derived hardware-rooted identities for unclonable device fingerprints. Experimental evaluation demonstrates 20% energy reduction compared to RSA-2048, 19ms verification time, and 100% success rate across varying environmental conditions. The framework supports over 10,000 devices per verifier node while maintaining strong security against replay attacks, device impersonation, and physical tampering.
Keywords
Upcoming Research
AI-Powered Forensic Analysis: Machine Learning for Digital Evidence Classification
Expected: 2026
AI-Powered Stegnography Tool: To hide and find data from images, videos, and audio files
Expected: 2026
Deepfake Detection Using Convolutional Neural Networks: A Forensic Perspective
Expected: 2026
Research Interests
IoT & Embedded Systems
Security protocols, authentication mechanisms, and privacy-preserving techniques for resource-constrained devices.
AI & Machine Learning
Applying AI techniques to forensic analysis, threat detection, and synthetic media identification.
Digital Forensics
Evidence analysis, chain-of-custody protocols, and novel forensic methodologies for emerging technologies.
Cybersecurity
Cryptographic protocols, zero-knowledge proofs, and advanced security architectures for modern systems.