Intellectual Property India Publishes Patent Application for 'Timing-Sensitive Password And Pattern Lock Authentication' Filed by Ranjeetsingh Shahajirao Suryawanshi; Pushkar Shripad Joglekar; Sameer Shrikant Vasekar; Aayush Sunil Veer; Sanskar Sandip Vethekar; and Dnyaneshwar Rajaram Vidhate

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621044561 A) filed by Ranjeetsingh Shahajirao Suryawanshi; Pushkar Shripad Joglekar; Sameer Shrikant Vasekar; Aayush Sunil Veer; Sanskar Sandip Vethekar; and Dnyaneshwar Rajaram Vidhate, Pune, Maharashtra, on April 7, for 'timing-sensitive password and pattern lock authentication.'

Inventor(s) include Ranjeetsingh Shahajirao Suryawanshi; Pushkar Shripad Joglekar; Sameer Shrikant Vasekar; Aayush Sunil Veer; Sanskar Sandip Vethekar; and Dnyaneshwar Rajaram Vidhate.

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 present invention relates to a secure authentication system that enhances traditional password and pattern lock mechanisms using behavioral biometric analysis. Conventional authentication systems verify only the correctness of entered credentials and cannot distinguish between legitimate users and attackers who possess the correct password. The proposed system introduces an additional security layer by analyzing keystroke dynamics, which includes timing characteristics such as key press duration, typing speed, and inter-key latency. The system captures the timing patterns generated while a user enters a password or pattern and converts this data into a unique behavioral profile. During the enrollment phase, multiple samples of the user's typing behavior are collected to generate a behavioral template. During authentication, the system compares the newly captured typing pattern with the stored template using machine learning classification algorithms such as K-Nearest Neighbors (KNN). Access is granted only if both the password and the behavioral pattern match the registered user profile. This approach provides a low-cost, software-based security enhancement that does not require specialized hardware. The invention improves resistance against attacks such as password theft, shoulder surfing, and keylogging by verifying not only the correctness of credentials but also the behavioral characteristics of the user while entering them."

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