Intellectual Property India Publishes Patent Application for 'Machine Learning Based Multilingual Sms Threat Classification In Telecommunication Networks' Filed by Comviva Technologies Limited

MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611002332 A) filed by Comviva Technologies Limited, Gurugram, Haryana, on Jan. 8, for 'machine learning based multilingual sms threat classification in telecommunication networks.'

Inventor(s) include Singh, Ashutosh Kumar.

The application for the patent was published on Feb. 13, under issue no. 07/2026.

According to the abstract released by the Intellectual Property India: "A method (1000) for threat classification of a Short Message Service (SMS) message in a telecommunications network is disclosed. The method (1000) includes receiving (1002) the SMS message from a signalling interface of the telecommunications network. The method (1000) includes verifying (1004) one or more signalling parameters associated with the SMS message to detect protocol-level anomaly in the SMS message. The method (1000) includes normalizing (1006) a text content of the SMS message based on one or more linguistic characteristics of the SMS message. The method (1000) further includes classifying (1008) the SMS message as one of a threat message or a non-threat message based on the normalized text content using one or more classification models. The one or more classification models comprise a pattern-based classification model and a machine learning based classification model. The method (1000) enables accurate threat detection across multilingual environments."

Disclaimer: Curated by HT Syndication.