Outputs (4)

Automated Artificial Intelligence Framework for Anomaly Detection in Healthcare SD-IoT Networks (2025)
Presentation / Conference Contribution
Algamdi, H., Aujla, G. S., Singh, A., Jindal, A., & Trehan, A. (2024, December). Automated Artificial Intelligence Framework for Anomaly Detection in Healthcare SD-IoT Networks. Presented at GLOBECOM 2024 - 2024 IEEE Global Communications Conference, Cape Town, South Africa

In healthcare IoT networks, network anomalies can disrupt the flow of reliable data, potentially compromising healthcare data's security and integrity. To address this challenge, several anomaly detection methods have been developed using artificial... Read More about Automated Artificial Intelligence Framework for Anomaly Detection in Healthcare SD-IoT Networks.

Leveraging Digital Twins for Anomaly Detection and Adaptive Healing in Software-defined IoT (2025)
Presentation / Conference Contribution
Singh, A., Aujla, G., Jindal, A., Sun, H., & Aslam, N. (2025, June). Leveraging Digital Twins for Anomaly Detection and Adaptive Healing in Software-defined IoT. Presented at IEEE International Conference on Communications, Montreal, Canada

Two-fold Strategy Towards Sustainable Renewable Energy Networks When Uncertainty is Certain (2024)
Journal Article
Garg, A., Singh, A., Singh Aujla, G., & Sun, H. (online). Two-fold Strategy Towards Sustainable Renewable Energy Networks When Uncertainty is Certain. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/TCE.2024.3475581

With renewable energy sources (RESs) integrated into modern power systems, energy consumers participate in the energy market making the entire network more complex and uncertain. Therefore, adaptive strategies are needed to address the various uncert... Read More about Two-fold Strategy Towards Sustainable Renewable Energy Networks When Uncertainty is Certain.

SecureFlow: Knowledge and data-driven ensemble for intrusion detection and dynamic rule configuration in software-defined IoT environment (2024)
Journal Article
Singh, A., Chouhan, P. K., & Aujla, G. S. (2024). SecureFlow: Knowledge and data-driven ensemble for intrusion detection and dynamic rule configuration in software-defined IoT environment. Ad Hoc Networks, 156, Article 103404. https://doi.org/10.1016/j.adhoc.2024.103404

There is a massive growth in the rate of heterogeneous devices configured in the Internet of Things (IoT) environment for efficient communication. The IoT devices are limited in resources, and there are no defined protocols in terms of security durin... Read More about SecureFlow: Knowledge and data-driven ensemble for intrusion detection and dynamic rule configuration in software-defined IoT environment.