Authors : Kuldeep Kumar Ratre; M. Kameshwar Rao; Payal Chandrakar

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/savhntkw

DOI : https://doi.org/10.38124/ijisrt/25may2278

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Cyber Shield is an AI-powered cybersecurity platform designed to predict and detect cyber threats in real time. Using supervised machine learning models trained on real- world network traffic, the system accurately classifies malicious activity and supports proactive defense strategies. Built with a Python backend and a React-based frontend, Cyber Shield offers an intuitive interface and scalable, containerized deployment via Docker. It integrates live traffic simulation, real-time prediction, and RESTful APIs for efficient operation. Performance evaluations confirm high accuracy, precision, and responsiveness. By transitioning from reactive detection to predictive intelligence, Cyber Shield demonstrates the practical application of AI in cybersecurity. Future improvements include deep learning integration and automated threat response, making it a robust framework for next-generation digital defense.

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