Data generation and sharing for robust intrusion detection in IoT systems
收藏DataCite Commons2024-10-29 更新2025-04-16 收录
下载链接：
https://ieee-dataport.org/open-access/data-generation-and-sharing-robust-intrusion-detection-iot-systems
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资源简介：
The data set includes attack implementations in an Internet of Things (IoT) context. The IoT nodes use Contiki-NG as their operating system and the data is collected from the Cooja simulation environment where a large number of network topologies are created. Blackhole and DIS-flooding attacks are implemented to attack the RPL routing protocol.
The datasets includes log file output from the Cooja simulator and a pre-processed feature set as input to an intrusion detection model.
提供机构：
IEEE DataPort
创建时间：
2024-10-29
