Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{198516,
        author = {E. Elanchezhiyan and Rayyan Bakker M A and R.Murugesan and Kiran R},
        title = {Secure Cloud and AI Systems For Intrusion Detection in Smart Environments},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {11706-11714},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198516},
        abstract = {Smart environments, driven by interconnected IoT devices, generate continuous streams of network traffic that are highly susceptible to various cyberattacks, making robust security mechanisms essential. This project proposes a cloud-based intelligent intrusion detection system designed to enhance the security of smart environments by monitoring and analysing network data in real time. Data collected from multiple smart devices is transmitted to a cloud infrastructure, where it is securely stored and processed for further analysis. Advanced artificial intelligence and machine learning models are employed to learn patterns of normal network behaviours and accurately identify anomalies that may indicate potential intrusions or malicious activities. The system leverages the scalability and flexibility of cloud computing to handle large volumes of data efficiently while enabling centralized monitoring and management. Real-time detection capabilities ensure prompt identification and response to threats, thereby minimizing potential damage and improving overall system resilience. Additionally, the integration of secure data storage and processing techniques enhances data privacy and reliability. The proposed system significantly improves detection accuracy, reduces false alarms, and provides a scalable and efficient solution for safeguarding smart environments against evolving cyber threats.},
        keywords = {Smart Environments, Intrusion Detection System (IDS) , Artificial Intelligence (AI) / Machine Learning (ML) , Cloud Computing},
        month = {April},
        }