Privacy-Preserving Cryptographic Channel Design for Distributed CrossDomain Data Transfer Networks

Abstract

The increasing adoption of distributed systems has created a strong demand for secure and efficient data exchange, exposing the limitations of traditional centralized architectures. Conventional file-sharing systems rely on a single server for authentication and storage, which leads to issues such as single-point failure, identity exposure, and limited scalability. These systems often lack robust identity verification across distributed nodes, making them vulnerable to impersonation, interception, and unauthorized access. Additionally, their dependence on static credential mechanisms and inefficient communication models results in higher latency and reduced system performance. Such limitations, including centralized identity management, increased processing overhead, and restricted collaboration between nodes, highlight the need for a decentralized and lightweight secure framework. To overcome these challenges, a system is developed using a Django-based web platform integrated with a Peer-to-Peer (P2P) architecture and Elliptic Curve Cryptography (ECC). The proposed system utilizes Elliptic Curve Diffie–Hellman (ECDH) as a key agreement mechanism to securely establish a shared secret between peers. When a requested file is not available locally, the system initiates secure ECC-based authentication with another peer and retrieves the file without relying on a central authority, ensuring confidentiality, integrity, and anonymity during communication. The Django framework effectively manages user interactions, database validation, file processing, and performance visualization, while the use of ECDH enables strong security with smaller key sizes, resulting in faster execution and improved overall efficiency.