MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641073575 A) filed by Prince Shri Venkateshwara Padmavathy Engineering College; Prince Dr K Vasudevan College Of Engineering Technology; Prince Shri Balaji Arts And Science College; and Prince Shri Venkateshwara Arts And Science College on June 13, 2026, for Secure Mobile Web Csrf Using Accelerometer Sensor.

Inventors include Prince Shri Venkateshwara Padmavathy Engineering; Prince Dr K Vasudevan College Of Engineering And; Prince Shri Balaji Arts And Science College; and Prince Shri Venkateshwara Arts And Science College.

The application for the patent was published on June 19, 2026, under issue no. 25/2026.

Abstract: Investigating the accelerometer and gyroscope motion sensor-based cross-site input inference attacks that may compromise the security of many mobile Web users, and quantify the extent to which they can be effective. Formulating attacks as a typical multi-class classification problem and build an inference framework that trains a classifier in the training phase and predicts the user’s new inputs in the attacking phase. To make attacks effective and realistic, design unique techniques and address major data quality and data segmentation challenges. Intensively evaluate the effectiveness of the attacks using 98,691 keystrokes collected from 20 participants. Overall, attacks are effective, for example, they are about 10.8 times more effective than the random guessing attacks regarding inferring letters. Also perform experiments to evaluate the effect of using the data perturbation defense techniques on decreasing the accuracy of the input inference attacks. The results demonstrate that researchers, smart phone vendors, and app developers should pay serious attention to the motion sensor-based cross-site input inference attacks that can be pervasively performed, and start to design and deploy effective defense techniques.

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