MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611107842 A) filed by Umang Paudyal; Rajshree; Mohd Rehbar Kamal; Anurag Rai; Rajneesh Kumar Singh; Anand Pandey; and Archana Sharma on September 08, 2026, for Deep Learning-Enabled Adaptive Post-Quantum Cryptographic System For Intelligent Threat Detection And Secure Data Communication.
Inventors include Umang Paudyal; Rajshree; Mohd Rehbar Kamal; Anurag Rai; Rajneesh Kumar Singh; Anand Pandey; and Archana Sharma.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention discloses a deep learning-enabled adaptive post-quantum cryptographic system (100) for intelligent threat detection and secure data communication. The system (100) comprises a deep learning-based threat detection module (110) that continuously monitors network traffic using a deep autoencoder for anomaly detection and a hybrid CNN-LSTM neural network for threat classification to generate quantified threat scores. An adaptive post-quantum cryptographic engine (120) dynamically selects quantum-resistant algorithms from lattice-based, code-based, and hash-based families through an algorithm selection controller (128) employing a reinforcement learning-augmented decision engine driven by the threat scores. A secure data communication module (130) establishes encrypted channels using hybrid quantum-resistant key exchange with forward secrecy. A central processing and orchestration unit (160) with a feedback loop controller (162) continuously refines threat detection and cryptographic adaptation through closed-loop learning, providing a unified, adaptive, and quantum-resilient security framework.
Disclaimer: Curated by HT Syndication.
