MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641075802 A) filed by Gotte Ranjith Kumar on June 18, 2026, for Spnet: Siamese Pyramid Network For Malicious Node Detection In Mobile Networks With Blockchain-Based Authentication Scheme.

Inventors include Gotte Ranjith Kumar; and Dr. K. Suresh Babu.

The application for the patent was published on July 17, 2026, under issue no. 29/2026.

Abstract: The present invention provides a secure and intelligent framework for detecting malicious nodes and authenticating them in mobile networks based on hybrid deep learning and blockchain approach. The proposed system is a Siamese Pyramid Network (SPNet) that consists of Siamese Convolutional Neural Network (SCNN) and PyramidNet architecture, which is used to effectively analyze node behavior and classify it. User authentication is done via a secure cryptographic mechanism using private keys, trapdoor functions, hash function and XOR operation and implemented using a blockchain based SSI model that provides decentralized and tamper- resistant identity management. The proposed approach relies on a behavioral representation of users in the shape of structured messages that are then processed by SCNN in order to compute similarity measures, and by PyramidNet to extract deep features in a hierarchical fashion. A decision fusion mechanism is used to integrate the outputs of both models for improving the classification accuracy. To detect and remove malicious or unauthorized nodes in real-time, a dynamic revocation mechanism is implemented by updating records on the blockchain without affecting data integrity. The proposed framework enhances the accuracy of detection, decreases the rate of false positive and false negative detection, and ensures secure communication in dynamic mobile network environments. Experimental results show that the system outperforms the current system with respect to accuracy, precision, recall and F1-score and this makes it suitable for next generation secure mobile communication systems.

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