"RPLGuard_Dataset-v1-2025 : RPL Dataset for Guarding Against Attacks"

"Low-power and lossy networks (LLNs) serve as the foundation for many IoT systems, and the RPL (Routing Protocol for LLNs) is a commonly used IPv6-based routing standard. RPL is still prone to advanced network attacks even if it is appropriate for limited surroundings. Using the Contiki-NG Cooja simulator with different network sizes of 10, 20, and 30 nodes, a dataset is produced for this aim. There are about 20,000 recordings in the dataset, and every one of them captures 29 important variables reflecting thorough real-time network behavior under both normal and attack conditions. From network behavior analysis to attack detection to the creation of AI/ML-based models for RPL security enhancement, it is appropriate for a broad spectrum of research uses. This dataset helps researchers to investigate, model, and enhance the security of LLNs by offering a whole range of parameters in real-world settings, therefore avoiding the need to create complex simulations manually. Using machine learning, deep learning, or federated learning, it helps with attack detection, intrusion detection, and protocol testing, so it serves as a useful tool for IoT and WSN study."