MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641010824 A) filed by Marri Laxman Reddy Institute Of Technology and Management, Hyderabad, Telangana, on Feb. 2, for 'a device for hybrid ml-based botnet threat identification and alerting iot systems.'
Inventor(s) include Marri Laxman Reddy Institute Technology And Management; B Prasad; Kallagunta Supriya; Durgam Vinay Kumar; Virupakshi Jaswanth Reddy; A Shalini; Siva Rama Prasad; Dr S P Jani; and Dr Raja Kishore.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The rapid growth of Internet of Things (IoT) devices has created network environments with limited built-in security, making them vulnerable to botnet-based cyberattacks. Existing network security monitoring solutions often fail to detect newly emerging or sophisticated botnet activities in a timely manner, leading to delayed alerts and increased attack impact. To address this issue, a network security monitoring device for IoT environments is proposed. The device is configured to receive and analyze IoT network traffic and device communication data in real time. It integrates embedded hybrid learning components within a unified architecture to identify abnormal and botnet-related behavior. The device automatically performs detection and generates alert outputs without executing automatic mitigation actions. Hybrid analysis improves detection accuracy while reducing false alerts. The device adapts to heterogeneous IoT devices and dynamic network conditions. Its lightweight design ensures compatibility with resource-constrained environments. The alert-based operation supports effective security monitoring. Overall, the device enhances IoT network security through reliable and timely botnet threat detection."
Disclaimer: Curated by HT Syndication.
