MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641051173 A) filed by Jennifer D; Sai Pranavi N; Rebecca M; Rithishaashri T S; Mrs. Jaichitra Vasudevan I; and Dr. Umarani Srikanth G, Chennai, Tamil Nadu, on April 22, for 'intelligent privacy preserving data encryption and anonymization system.'

Inventor(s) include Jennifer D; Sai Pranavi N; Rebecca M; Rithishaashri T S; Mrs. Jaichitra Vasudevan I; and Dr. Umarani Srikanth G.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "The rapid growth of digital data in institutional environments necessitates advanced privacy-preserving frameworks beyond conventional encryption methods. Existing systems often apply uniform security mechanisms, leading to inefficient resource utilization and inadequate protection for sensitive information. This invention proposes an Intelligent Privacy Preserving Data Encryption and Anonymization System that integrates sensitivity-driven protection, lightweight cryptography, anonymization techniques, biometric authentication, and blockchain-based audit logging. The system incorporates a Sensitivity Classification Engine that evaluates data based on content type, privacy indicators, and identity risk to assign appropriate protection levels. Highly sensitive data is secured using ASCON-128a lightweight authenticated encryption with RSA-protected keys. Moderately sensitive data undergoes anonymization using SHA-256 hashing and masking. Low-sensitivity data is processed using lightweight obfuscation techniques. Access control is enforced through a role-based model combined with biometric authentication. Data is stored using decentralized IPFS-compatible storage with blockchain-maintained immutable audit trails. Experimental results demonstrate a 94 percent classification accuracy, 18 to 25 percent encryption overhead reduction over AES-GCM, and 100 percent tamper detection in integrity verification tests, confirming suitability for real-time, privacy-critical applications."

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