Intellectual Property India Publishes Patent Application for 'Artificial Intelligence Based Automatic Intrusion Detection System Using Data Mining And Machine Learning Methods For Cyber Security Intrusion Detection' Filed by Amrit Preet Singh

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511116422 A) filed by Amrit Preet Singh, Hoshiarpur, Punjab, on Nov. 24, 2025, for 'artificial intelligence based automatic intrusion detection system using data mining and machine learning methods for cyber security intrusion detection.'

Inventor(s) include Dr. Jyoti Parashar; Dr. Pinki Nayak; Ms. Reena Jindal; Dr. Virendra Singh Kushwah; Ms. Mamta Goyal; and Dr. Ashwni.

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: "An AI-based Automatic Intrusion Detection System (AI-IDS) combines data mining, classical machine learning, and deep-learning techniques to detect, classify, and prioritize malicious activity in networks and hosts. The system ingests multi-source telemetry (PCAP/flows, logs, host metrics), extracts engineered and learned features, applies hybrid detection (signature + supervised classification + anomaly detection + graph methods), and produces prioritized, explainable alerts integrated into SOC workflows. It emphasizes scalability, low latency, continuous learning, privacy-preserving data handling, and operational utility (low false positives, actionable context)."

Disclaimer: Curated by HT Syndication.