2026-10-15T09:16:25Z https://data.mendeley.com/oai

oai:data.mendeley.com/pzhm3jnw6w.1 2023-01-17T09:26:08Z

Roldán, José Dataset for An Automatic Unsupervised Complex Event Processing Rules Generation Architecture for Real-Time IoT Attacks Detection Mendeley Data 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 Cybersecurity Dataset doi:10.17632/pzhm3jnw6w.1 oai:data.mendeley.com/pzhm3jnw6w.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/pzhm3jnw6w 2023-01-17T09:26:08Z