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@article{189228,
        author = {Nithin Gowda M T and K. S. Poorvik and Mithun R and Suhas B S},
        title = {A Reliable Serverless Data Chunk Streaming Model for File Sharing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {5238-5247},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189228},
        abstract = {The increasing demand for fast, private, and reliable digital communication has exposed the limitations of conventional file-sharing systems that rely heavily on centralized servers and cloud-based infrastructures. These platforms often suffer from high latency, bandwidth constraints, privacy risks, and dependency on third-party services. This work presents a WebRTC-based real-time file-sharing system that enables secure, peer-to-peer data transfer directly between browsers without intermediate storage or routing. The proposed approach leverages WebRTC’s Data Channel architecture, DTLS-enabled encryption, and ICE-based NAT traversal to establish low-latency and end-to-end encrypted communication paths. To improve performance during large-file transfers and unstable networks, the system incorporates adaptive chunking, dynamic pacing, and retransmission strategies that ensure reliable delivery and seamless reconstruction on the receiver side. A React-based front- end and a Node.js signaling backend deployed on Vercel provide a responsive, scalable, and platform-independent user experience. The findings demonstrate that WebRTC offers a practical, efficient, and privacy-preserving alternative to traditional server- centric file-sharing solutions, making this approach suitable for modern collaborative environments that require instant and decentralized data exchange.},
        keywords = {WebRTC, Peer-to-Peer Communication, Real- Time File Sharing, Data Channels, DTLS Encryption, ICE Framework, NAT Traversal, Chunk-based Transmission, Browser-Based Communication.},
        month = {December},
        }