MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042441 A) filed by Madhankumar C; Mrs. Sampada Aditya Kulkarni; Mrs. Dukitha M; R. Archana; M S Radhika; S. Senthilkumar; and Mr P Vignesh, Pollachi, Tamil Nadu, on April 2, for 'holistic context-aware secure data provenance system using blockchain-integrated trusted execution environments.'
Inventor(s) include Mrs. Sampada Aditya Kulkarni; Mrs. Dukitha M; R. Archana; M S Radhika; S. Senthilkumar; and Mr P Vignesh.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Holistic Context-Aware Secure Data Provenance System Using Blockchain-Integrated Trusted Execution Environments Abstract The exponential growth of distributed computing, cloud services, and Internet of Things (IoT) ecosystems has intensified the need for secure, transparent, and tamper-resistant data management mechanisms. Traditional data provenance systems often suffer from vulnerabilities such as centralized control, unauthorized data manipulation, lack of contextual awareness, and insufficient trust verification across heterogeneous environments. These limitations pose significant risks to data integrity, accountability, and regulatory compliance in critical sectors including healthcare, finance, smart infrastructure, and cyber-physical systems. The present invention proposes a Holistic Context-Aware Secure Data Provenance System that integrates blockchain technology with Trusted Execution Environments (TEEs) to establish a decentralized, privacy-preserving, and verifiable framework for end-to-end data lifecycle management. The system leverages blockchain's immutable ledger capabilities to record cryptographically signed provenance metadata, while TEEs provide hardware-level isolation to securely process sensitive data and execute trust-sensitive operations without exposure to external threats. A novel context-aware intelligence engine is introduced to dynamically evaluate environmental, behavioral, and operational parameters such as device identity, network conditions, user authentication status, data sensitivity level, and anomaly patterns. Based on these contextual insights, the system autonomously enforces adaptive security policies, access controls, and provenance validation mechanisms. Smart contracts deployed on the blockchain automate data verification, integrity checks, and audit trail generation, ensuring transparent and non-repudiable tracking of data origin, transformation, and access history. The proposed framework incorporates advanced cryptographic protocols, distributed consensus algorithms, and secure enclave technologies to achieve robust protection against data tampering, insider threats, replay attacks, and unauthorized modifications. Additionally, the system supports interoperability across multi-cloud and edge computing environments, enabling scalable deployment in decentralized infrastructures. A real-time monitoring and analytics module further enhances system resilience by detecting suspicious activities and initiating automated mitigation responses. This invention delivers a comprehensive, scalable, and trust-centric solution for secure data provenance management, significantly improving data reliability, regulatory compliance, and operational transparency. The proposed system is particularly suitable for high-assurance applications such as digital forensics, electronic health records management, supply chain traceability, secure research data management, and mission critical industrial automation."
Disclaimer: Curated by HT Syndication.
