MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641048590 A) filed by Dr. Neelam Sanjeev Kumar; Sai G; Ramisetty T M Surya; Sriram Sanjay; and Allam Reddy Charan on April 16, 2026, for Intelligent Threat Aware Mixed Encryption Model For Privacy Preservation In Large Scale Data Communi.
Inventors include Dr. Neelam Sanjeev Kumar; Sai G; Ramisettyt M Surya; Sriram Sanjay; and Allam Reddy Charan Indian.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention discloses an Intelligent Threat-Aware Mixed Encryption Model for Privacy Preservation in Large-Scale Data Communication, hereinafter referred to as the ARB3 Model. The invention proposes a hybrid cryptographic framework that integrates the Advanced Encryption Standard (AES) for symmetric data encryption, Elliptic Curve Cryptography (ECC) for asymmetric key exchange, and the BLAKE3 hashing algorithm for data integrity verification, combined with an intelligent intrusion Detection System (IDS) based on machine learning. The system is designed to address the security and privacy challenges inherent in cloud computing environments, including data leakage, unauthorized access, and performance degradation under large-scale data loads. In the proposed model, data is encrypted using AES-GCM for fast and authenticated symmetric encryption. The AES session key is generated and securely exchanged using ECC-based key agreement, providing robust security with smaller key sizes and lower computational overhead compared to traditional RSA-based key exchange. BLAKE3 hashing is employed to compute an integrity digest of the data prior to transmission, enabling tamper detection at the receiver. An intelligent monitoring unit based on the Isolation Forest anomaly detection algorithm continuously analyzes traffic patterns including packet size and transmission frequency to identify and block abnormal behaviour indicative of intrusion attempts. Experimental evaluation demonstrates that the proposed ARB3 Model achieves superior execution speed approximately twice that of RSA-based systems, high throughput, highly secure ECC-based key management, and reliable data integrity through BLAKE3 hashing, while also providing intelligent threat detection capability absent in conventional cryptographic models. The system is applicable for secure data communication, cloud storage, virtual private networks, and real-time data-sharing applications in large-scale distributed environments.
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