MUMBAI, India, Oct. 31 -- Intellectual Property India has published a patent application (202421033725 A) filed by Tata Consultancy Services Limited, Maharashtra, on April 29, 2024, for 'generating usable high entropy passphrases in local language from personalized intersection corpus.'
Inventor(s) include Bhavsar, Karan Rajesh; Doke, Pankaj Harish; Shinde, Sujit Raghunath; and Kimbahune, Sanjay Madhukar.
The application for the patent was published on Oct. 31, under issue no. 44/2025.
According to the abstract released by the Intellectual Property India: "There are technical challenges to addressing the technical capability limitations of a Basic Emergent User (BEU) to enable and assist in generating high entropy passphrases but are easier for recall. Generating usable high entropy passphrases in a local language from personalized intersection corpus for device authentication set up for BEU is provided. A recallable phrase, spoken by the BEU in local language, is converted to a text and Seed List Words (SLWs) are filtered based on a pre-generated personalized intersection corpus. Passphrase distance matrix is generated for the SLWs using the personalized intersection corpus. Words associated with each SLW are arranged in descending order of vector distance or entropy. Words of same order are concatenated in for each SLW to generate passphrase corpus. Randomly selected passphrases are read out and displayed on the user device by positioning the highest entropy based on usability of display screen in context of the user."
Disclaimer: Curated by HT Syndication.
