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Data Privacy and Threat Response in Edge-Cloud Architectures: A Unified Detection Approach

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Data Privacy and Threat Response in Edge-Cloud Architectures: A Unified Detection Approach


Kalyan Sripathi | Vineet Baniya



Kalyan Sripathi | Vineet Baniya "Data Privacy and Threat Response in Edge-Cloud Architectures: A Unified Detection Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-4, August 2025, pp.35-42, URL: https://www.ijtsrd.com/papers/ijtsrd97115.pdf

This study has demonstrated that integrating a unified detection approach within edge-cloud architectures significantly enhances both data privacy and threat response effectiveness in distributed systems. By utilizing federated learning, local differential privacy techniques, and a multi-layered detection framework, the proposed model ensures that sensitive data remains localized while enabling collaborative, intelligent threat identification across nodes. The system efficiently balances computational load between edge and cloud components, reducing latency and communication overhead without sacrificing detection accuracy. Through rigorous evaluation using benchmark datasets and simulated real-world conditions, the framework achieved superior performance metrics compared to centralized and decentralized counterparts, validating its robustness and scalability. The findings affirm the critical role of decentralized intelligence, secure model updates, and privacy-centric design in future-ready cybersecurity infrastructures. Ultimately, this research offers a viable pathway toward building secure, responsive, and privacy-preserving solutions for next-generation edge-cloud ecosystems, encouraging broader adoption in critical applications such as smart cities, healthcare, and industrial IoT.

Edge-cloud security, federated learning, intrusion detection system, data privacy, decentralized threat response


IJTSRD97115
Volume-9 | Issue-4, August 2025
35-42
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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