MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611078556 A) filed by Mrs. Chandra Doddapalli Ramachandra Reddy on June 25, 2026, for Quantum-Resistant Encryption And Autonomous Cyber Defense System For Dis-Tributed Computing Environments.
Inventor includes Mrs. Chandra Doddapalli Ramachandra Reddy.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: This invention introduces a Quantum-Resistant Encryption and Autonomous Cyber Defense System, built for the realities of distributed computing—clouds, edge net- works, IoT, federated systems, and sprawling hybrid architectures. As quantum com-puting gets stronger and cyber threats grow more elaborate, old-school cryptography and reactive security tools just can’t keep up. RSA, ECC, Diffie-Hellman—standard public-key algorithms—are all susceptible to quantum attacks using Shor’s algorithm. Bad actors can now collect encrypted data and patiently wait for quantum decryption tools, undermining long-term security. Add to this the massive attack surfaces in dis-tributed networks, where threats like advanced persistent threats (APTs), zero-days, ransomware, and DDoS exploits flourish. Traditional intrusion detection brings its own baggage: lag, too many false positives, and not enough autonomy. This system fills those gaps by combining a hybrid post-quantum cryptography framework with intelligent, self-driven defense agents. The encryption technology brings in lattice-based schemes—like CRYSTALS-Kyber for key exchange and CRYSTALS-Dilithium for digital signatures—along with hash-based, code-based, and multivariate options. There’s a dynamic negotiation engine at play, handling seamless key swaps, algorithm changes, and smooth transitions between hybrid modes. Hardware support comes from FPGAs and trusted execution environments (TEEs), delivering strong security and zero-knowledge proofs for consensus, even on small edge devices. This approach limits overhead from bigger PQC keys and de-fends against quantum-powered impersonation and side-channel attacks. On the defense front, the system deploys advanced autonomous agents using multi-objective reinforcement learning, including PPO models, across its network. They share threat intelligence securely using federated learning and multi-party computa-tion, and don’t stop at surface-level scans—they constantly monitor telemetry, pick up on behavioral shifts, and watch even the encrypted data flows. When they spot trouble, they spring into action on their own: segmenting networks, containing threats, deploying adaptive honeypots, repairing damage, and rolling out patches, all automatically. Explainable AI pieces—like SHAP values and attention mecha-nisms—give operators transparent, accountable insights, helping with regulatory needs and supporting zero-trust environments. Management is streamlined through a platform that uses immutable ledgers, inspired by blockchain, alongside a quantum-safe key management service. The system plays well with containerized middleware (Kubernetes), NFV, and lightweight agents for IoT, using tools like model quantization, predictive caching, and GAN-generated at-tacks for training. It connects with both quantum and classical environments and keeps crosstalk to a minimum. Real-world uses stretch from healthcare and finance to critical infrastructure and federated analytics—delivering strong resilience without slowing the system down. In practice, the advantages are clear: higher detection accuracy, faster identification and response to threats (lower MTTD and MTTR), better uptime, and future- proofed cryptography. By marrying quantum-resistant security tools with smart, evolving de-fenses, this invention provides a flexible, transformative shield for distributed com-puting—ready for both today’s and tomorrow’s cyber risks. It doesn’t just patch to-day’s holes; it lays the groundwork for resilient, intelligent cybersecurity, supporting innovation in secure collaboration and robust digital infrastructure.
Disclaimer: Curated by HT Syndication.
