MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641122511 A) filed by Dr. John De Britto C; Sengole Merlin; Daarius Ryan; Vijay Antony; Nagarajan M K; Mahendiran C R; Dr. P. S. Prakash; Dr. D. Amudhavalli; Dr. A. Sathish; and Dr. N. P. Gopinath on October 13, 2026, for Ai-Driven Deep Learning Sensor Network For Real-Time Cybersecurity Threat Detection And Autonomous R.
Inventors include Dr. John De Britto C; Sengole Merlin; Daarius Ryan; Vijay Antony; Nagarajan M K; Mahendiran C R; Dr. P. S. Prakash; Dr. D. Amudhavalli; Dr. A. Sathish; and Dr. N. P. Gopinath.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The present development re-counts to an artificial intelligence-enabled cybersecurity system encompassing a spread sensor network, bright edge meting out units, deep education models, threat assessment modules, and independent answer mechanisms for real-time detection and mitigation of cyber threats. The system uninterruptedly acquires network, device, communication, traffic, conservational, and active parameters through wide-ranging sensing nodes situated slanted Internet of Things (IoT), wireless sensor networks (WSNs), industrial networks, smart organization, and cyber-physical organizations. A preprocessing element filters sound, standardizes heterogeneous statistics, excerpts time-based and longitudinal features, and produces cybersecurity nose trajectories. A deep education locomotive encompassing one or extra convolutional neural networks (CNN), long short term recollection (LSTM) networks, autoencoders, recurrent neural netwbrks, or hybrid constructions recognizes nonstandard performance and orders latent cyber weights. A active threat grading device appraises session harshness, sureness, pretentious bulges, communique decorations, and broadcast jeopardy. Based on the produced risk slash, an autonomous answer controller routinely separates cooperated nodes, adjusts communication routes, hunks spiteful traffic, apprises admittance policies, or recruits recovery actions. The organization includes continuous feedback from answer results to recover following uncovering and decision-making. The planned invention enables spread, adaptive, low-latency, and resource-aware cybersecurity protection while reducing dependence on manual intervention, educating discovery of beforehand unseen bouts, diminishing untruthful alarms, and ornamental flexibility of associated bright substructures.
Disclaimer: Curated by HT Syndication.
