MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541112431 A) filed by Priyanka K; Nivethika S; Prathisha R; Santhosh S; and Surendiran M G, Coimbatore, Tamil Nadu, on Nov. 17, 2025, for 'anomaly detection in iot network traffic.'
Inventor(s) include Priyanka K; Nivethika S; Prathisha R; Santhosh S; and Surendiran M G.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "This project presents a graphical loT-based Network Monitoring and Intrusion Detection System (IDS} designed to track real-time network activity, detect anomalies, and protect connected loT devices from potential threats. Built using Python (Tkinter GUI}, the system provides an interactive dashboard for live traffic visualization, active IP tracking, and automated security actions such as blocking malicious IPs. It leverages machine learning (Isolation Forest algorithm} to identify unusual network behavior by analyzing packet flow patterns captured through pyshark. The system ensures proactive network defense by generating detailed reports and email alerts when anomalies are detected."
Disclaimer: Curated by HT Syndication.
