five

Dataset to Train Intrusion Detection Systems based on Machine Learning Models for Electrical Substations

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/13898982
下载链接
链接失效反馈
官方服务:
资源简介:
DATASET This dataset is part of the research work titled "A dataset to train intrusion detection systems based on machine learning models for electrical substations". The dataset has been meticulously curated to support the development and evaluation of machine learning models tailored for detecting cyber intrusions in the context of electrical substations. It is intended to facilitate research and advancements in cybersecurity for critical infrastructure, specifically focusing on real-world scenarios within electrical substation environments. We encourage its use for experimentation and benchmarking in related areas of study. The following sections list the content of the dataset generated. Data raw iec6180 attack-free-data capture61850-attackfree.pcap (from real substation) capture61850-attackfree_PTP.pcap capture61850-attackfree_normalfault.pcap attack-data capture61850-floodattack_withfault.pcap capture61850-floodattack_withoutfault.pcap capture61850-fuzzyattack_withfault.pcap capture61850-fuzzyattack_withoutfault.pcap capture61850-replay.pcap capture61850-ptpattack.pcap iec104 attack-free-data capture104-attackfree.pcap (from real substation) attack-data capture104-dosattack.pcap capture104-floodattack.pcap capture104-fuzzyattack.pcap capture104-iec104starvationattack.pcap capture104-mitmattack.pcap capture104-ntpddosattack.pcap capture104-portscanattack.pcap processed iec6180 attack-free-data capture61850-attackfree.csv capture61850-attackfree_PTP.csv capture61850-attackfree_normalfault.csv attack-data capture61850-floodattack_withfault.csv capture61850-floodattack_withoutfault.csv capture61850-fuzzyattack_withfault.csv capture61850-fuzzyattack_withoutfault.csv capture61850-replay.csv capture61850-ptpattack.csv headers_iec61850[all].txt iec104 attack-free-data capture104-attackfree.csv attack-data capture104-dosattack.csv capture104-floodattack.csv capture104-fuzzyattack.csv capture104-iec104starvationattack.csv capture104-mitmattack.csv capture104-ntpddosattack.csv capture104-portscanattack.csv headers_iec104[all].txt   Description file type: it may be captured61850 or captured104 depending on whether it contains network captures of the protocol IEC61850 or IEC104. attack: attack free (attackfree) or attack name is added to the file name. function: optionally, if there are some details about functionality captured (normalfault) or specific protocol capture (PTP). file extension: the type can be PCAP (network capture) or CSV (flow file).   Results results test1-iec104 model-test1-iec104.pkl test1-iec104.log test1-iec61850 model-test1-iec61850.pkl test1-iec61850.log test2-iec61850 model-test2-iec61850.pkl test2-iec61850.log Description The outcomes of different test executions are available as follows: test1-iec104: IEC 104 protocol for all attacks and attack free scenario test1-iec61850: IEC 61850 protocol for fuzzy attack with fault injection and attack free scenario test2-iec61850: IEC 61850 protocol for fuzzy attack normal operation and attack free scenario Each test consists of the model results in Python pickle format (with a .pkl extension) and a detailed description of the execution conditions in an output log file (with a .log extension).    Source Code   Tools to process network captures from IEC61850 and IEC104 can be found at github repository.
创建时间:
2025-02-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作