Dataset for An Automatic Unsupervised Complex Event Processing Rules Generation Architecture for Real-Time IoT Attacks Detection
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资源简介：
Dataset used to perform the experiments of the article "An Automatic Unsupervised Complex Event Processing Rules Generation Architecture for Real-Time IoT Attacks Detection".
The distribution between training and testing is as follows:
Normal: 50% training, 50% testing
Subscription fuzzing: 80% training, 20% testing
Disconnection wave: 15%training, 85% testing
TCP SYN Scan: 10% training, 90% testing
UDP port Scan: 10% training, 90% testing
XMAS Scan: 10% training, 90% testing
Telnet Connection: 10% training, 90% testing
创建时间：
2023-01-17
