CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

The CICIoT2023 dataset was developed to address the critical need for large-scale, updated IoT security benchmarks. It includes 33 different types of attacks, such as DDoS, DoS, Reconnaissance, Web-based attacks, Brute Force, Spoofing, and Mirai. The data was captured from a physical lab setup consisting of 105 IoT devices, providing both raw PCAP files and processed CSV files with 46 features. This dataset is ideal for training machine learning models for real-time Intrusion Detection Systems (IDS).