Intellectual Property India Publishes Patent Application for 'Deep Learning-Based Intrusion Detection System For Internet Of Things (IOT) Networks' Filed by Lovely Professional University

MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202511102295 A) filed by Lovely Professional University, Phagwara, Punjab, on Oct. 24, 2025, for 'deep learning-based intrusion detection system for internet of things (iot) networks.'

Inventor(s) include Dr. Namita Kaur; Balpreet Singh; Dr. Satnam Singh; and Sumit Mittu.

The application for the patent was published on Dec. 12, under issue no. 50/2025.

According to the abstract released by the Intellectual Property India: "A deep learning-based intrusion detection system for Internet of Things (IoT) networks, comprises of an IoT network traffic data acquisition module 101 configured to collect data from IoT entities, multiple neural network models 102 trained on the BoT-IoT dataset to classify network traffic into benign or malicious categories, an ensemble learning module 103 combining outputs from the plurality of neural network models 102 to enhance detection accuracy, a performance evaluation module 104 configured to assess classification metrics including accuracy, precision, recall, and F1-score, and the performance evaluation module 104 employs standard classification metrics to validate model robustness across multiple attack type."

Disclaimer: Curated by HT Syndication.