MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641087127 A) filed by Mrs. Deepthi Kamidi; Dr J. Divakaran; Mr. Dnyanesh Somnath Gaikwad; Ms. R. Vanitha; Dr. J. Jayapal; Mrs. A. Divya; Dr. R. Ramya; and Ms. Munjeti Sowjanya on July 16, 2026, for Advanced Intelligent Cybersecurity Device Using Artificial Intelligence For Se-Cure Electric Vehicle Wireless Communication Systems.
Inventors include Mrs. Deepthi Kamidi; Dr J. Divakaran; Mr. Dnyanesh Somnath Gaikwad; Ms. R. Vanitha; Dr. J. Jayapal; Mrs. A. Divya; Dr. R. Ramya; and Ms. Munjeti Sowjanya.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: Abstract An advanced intelligent cybersecurity device is presented that utilizes artificial intelligence methods. An apparatus provides enhanced security for wireless communication systems in electric vehicles. The apparatus offers optimized protection for data transmissions over wireless communication links carrying telemetry, diagnostics, software, messages from charging stations, and cooperative driving messages for the electric vehicle. By implementing artificial intelligence methods in a device located at an apparatus associated with the electric vehicle, the present invention provides optimized security for the wireless communication systems of the electric vehicle. A cybersecurity device comprises a wireless signal acquisition and monitoring component that passively listens to the wireless communication link. A feature extraction and preprocessing component generates temporal, spectral, messaging related features and context labels based on features extracted from the monitored wireless communication. An artificial intelligence inference and adaptation component comprises trained artificial intelligence models that distinguish traffic patterns in the wireless communication link carrying normal data transmissions from those requiring cybersecurity attention. The artificial intelligence models are updated under controlled conditions to adapt to local traffic conditions while maintaining secure operations. A response and isolation component takes action to protect the wireless communication link by directing specific filters, isolating components, and raising alarms upon detecting signals requiring cybersecurity attention. A vehicle system integration and context component interfaces with vehicle systems, including the battery, to provide context information for training artificial intelligence models and taking responsive actions upon detecting signals requiring cybersecurity attention. A power and thermal management component manages the power consumption and thermal dissipation of the cybersecurity device while maintaining the necessary operations. A secure memory component stores vital information, including models, weights, and event data, in a secure hardware-level storage. The apparatus works mainly at the network edge by focusing on the local area around the electric vehicle. It provides optimized protection for the wireless communication systems of the electric vehicle. The apparatus offers enhanced security for data transmissions over wireless communication links carrying telemetry, diagnostics, software, messages from charging stations, and cooperative driving messages for the electric vehicle. The combination of the cybersecurity device, artificial intelligence inference, isolation mechanisms, context awareness, and power optimization provide an improved cybersecurity solution for the wireless communication systems of the electric vehicle.
Disclaimer: Curated by HT Syndication.
