Dataset of network packets from cyberattack
Label the dataset by two classed, 0 for normal data, 1 for anomaly data which are collected from network packets
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'building a cyber-attack detector for Industrial Control System using one-class classification. The datasets are collected from simulator called Factory I/O which can simulated ICS factory environment, then we created three basic cyber-attack script which is Injection-Attack, ARP-spoofing Attack and Man-in-the-middle attack. These attacks are created for attacking the factory for the purposes. After running the script, we can collect our dataset using Tcpdump in KALI LINUX, so that we can train these data using machine learning to build an IDS.
Label the dataset by two classed, 0 for normal data, 1 for anomaly data which are collected from network packets
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