Blockchain & Off-Chain
Optimizing throughput and liquidity in payment channels (PCNs). Designing models to counter wormhole attacks and channel depletion.
We conduct advanced research in Blockchain and Off-chain Technologies, Decentralized Trust Infrastructures, Applied Cryptography, Privacy-preserving Machine Learning and Trustworthy AI.
Pioneering secure, high-performance computing frameworks for the future of digital transactions.
The Security, Privacy and Trust Lab (SPriT Lab) at the Indian Institute of Technology Jodhpur focuses on solving complex scientific problems that occur at the intersection of cryptography and decentralized engineering. Our mission is to build robust systems where cryptographic guarantees ensure absolute privacy and security, even in highly hostile off-chain networks.
Our current breakthroughs include developing scalable mechanisms for Payment Channel Networks (PCNs) to avoid channel exhaustion, designing wormhole-resistant routing paths, and integrating zero-knowledge proofs to enhance privacy in decentralized AI environments.
Our lab explores multiple thrust areas within security, cryptographic protocols, and distributed trust systems.
Optimizing throughput and liquidity in payment channels (PCNs). Designing models to counter wormhole attacks and channel depletion.
Leveraging zk-SNARKs and cryptographic commitments to enable secure transaction verification and private auditing on distributed ledgers.
Enabling privacy-preserving collaborative learning frameworks (Federated Learning) that protect input models and raw data.
Designing cryptographically sealed, access-controlled record systems that protect sensitive patient medical data during remote sharing and clinical diagnostics.
Formulating formal models to evaluate peer-to-peer trust dynamics and enforce mathematically provable security bounds on distributed protocols.
Establishing anonymous trust management and privacy-preserving routing systems for intelligent transit networks.
Securing telemetry communications and swarm coordination in unmanned drone networks through lightweight, low-latency cryptographic protocols.
Enabling non-invasive activity recognition using ambient wireless signals while developing safeguards to protect spatial privacy and user anonymity.
Constructing custom multi-signatures, threshold schemes, and time-lock commitments to secure multi-hop routing and scaling in decentralized networks.
Our research on Beholder Signatures, a novel cryptographic signature framework designed to enhance transaction verification security and privacy in decentralized ecosystems, has been accepted for publication at CRYPTO 2026.
We are actively looking for motivated doctoral researchers interested in blockchain scalability, zero-knowledge proofs, and network security.
IACR 46th Annual International Cryptology Conference, CRYPTO 2026
Citation DetailsIACR Cryptology ePrint Archive, 2025
Citation DetailsWe are constantly seeking brilliant graduate students, research fellows, and postdocs to solve complex architectural challenges. Explore opportunities at SPriT Lab.
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