MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541122504 A) filed by New Prince Shri Bhavani College Of Engineering And Technology; M. Dinesh Kumar; R. Surlya; R. Arun; and S. Kanmani Jebaseeli, Chennai, Tamil Nadu, on Dec. 5, 2025, for 'ai-powered system for efficient cyber incident detection and response in cloud environments.'
Inventor(s) include M. Dinesh Kumar; R. Suriya; R. Arun; and S. Kanmani Jebaseeli.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "With the rapid growth of cloud computing, cyberattacks have become more sophisticated and occur at a pace that traditional security mechanisms cannot effectively counter. Modern attackers exploit vulnerabilities through techniques such as Denial of Service (DoS), probing, and unauthorized access, which threaten the reliability and security of cloudhosted applications and data. This highlights the urgent need for an adaptive and intelligent security framework capable of responding in real time. To address this challenge, the proposed project develops an AI-powered Intrusion Detection System (IDS) that leverages machine learning to analyze network traffic and detect intrusions instantly. The system is trained using the NSL-KDD dataset, which provides diverse attack scenarios, enabling the detection and classification of threats such as DoS, Probe, Remote-toLocal (R2L), and User-to-Root (U2R). Supervised learning models like Random Forest and SVM are employed to ensure higp accuracy while minimizing false positives and false negatives. The solution is designed to be deployed on the A WS cloud platform, utilizing services such as EC2 for computation and S3 for storage. This cloud-native approach ensures scalability, availability, and fault tolerance, making the IDS suitable for real-time monitoring under heavy network traffic. Automated alerts and reports are generated for immediate response, while the system periodically retrains itself to adapt to emerging attack patterns. By combining artificial intelligence, machine learning, and cloud technologies, this project aims to create a proactive, intelligent, and adaptive security system. The outcome will significantly enhance the protection of cloud-based applications and infrastructures, offering organizations a reliable way to mitigate cyber risks and ensure data integrity in dynamic network environments."
Disclaimer: Curated by HT Syndication.
