서두르세요! "데이스쿨 40% 할인" 12월 2일까지!

서두르세요! "데이스쿨 40% 할인" 12월 2일까지!

AI Challenge for Industrial Control System Threat Detection

산업 | 국가보안기술연구소 | 인공지능 AI 활용 위협 탐지 알고리즘 | TaPR | 비지도학습

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대회안내 데이터 코드 공유 토크 리더보드

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설명

HAICon2021 Dataset

1. train dataset (6)

file name: 'train1.csv', 'train2.csv', 'train3.csv', 'train4.csv', 'train5.csv', 'train6.csv'
Description: Data collected under normal operating conditions(Have time continuity for each file)
Column1 ('time'): Observation time
Column2, 3, …, 80 ('C01', 'C02', …, 'C86'): State observation data

2. validation dataset (1)

file name: 'validation.csv'
Data collected from attack situations (with time continuity)
Column1 ('time'): Observation time
Column2, 3, …, 80 ('C01', 'C02', …, 'C86'): State observation data
Column81: Attack label (normal:'0', attack:'1')

3. test dataset (4)

file name: 'test1.csv', 'test2.csv', 'test3.csv'
Column1 ('time'): Observation time
Column2, 3, …, 80 ('C01', 'C02', …, 'C86'): State observation data

4. sample_submission.csv: submission form

Column1 ('time'): Observation time
Column2 ('attack'): attack prediction results(normal:'0', attack:'1')

5. eTaPR-21.8.2-py3-none-any.whl: evaluation metric tool

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