최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기情報保護學會論文誌 = Journal of the Korea Institute of Information Security and Cryptology, v.32 no.4, 2022년, pp.691 - 708
As the technology of machine learning and deep learning became common, it began to be applied to research on anomaly(abnormal) detection of industrial control systems. In Korea, the HAI dataset was developed and published to activate artificial intelligence research for abnormal detection of industr...
Shalyga, Dmitry, Pavel Filonov, and Andrey Lavrentyev. "Anomaly detection for water treatment system based on neural network with automatic architecture optimization." arXiv preprint arXiv:1807.07282 (2018).
Xu, Jiehui, et al. "Anomaly transformer: Time series anomaly detection with association discrepancy." arXiv preprint arXiv:2110.02642 (2021).
Blazquez-Garcia, Ane, et al. "A review on outlier/anomaly detection in time series data." ACM Computing Surveys (CSUR) 54.3 (2021): 1-33.
Braei, Mohammad, and Sebastian Wagner. "Anomaly detection in univariate time-series: A survey on the state-of-the-art." arXiv preprint arXiv:2004.00433 (2020).
Filonov, Pavel, Andrey Lavrentyev, and Artem Vorontsov. "Multivariate industrial time series with cyber-attack simulation: Fault detection using an lstm-based predictive data model." arXiv preprint arXiv:1612.06676 (2016).
Shin, Hyeok-Ki, et al. "HAI 1.0: HIL-based Augmented ICS Security Dataset." 13th USENIX Workshop on Cyber Security Experimentation and Test (CSET 20). 2020.
HAI v3.0(22.04), "hai dataset technical details v3.0", Retrieved from https://github.com/icsdataset/hai/blob/master/hai_dataset_technical_details_v3.0.pdf. Last accessed 15 Jun. 2022
Hwang, Won-Seok, et al. "Do you know existing accuracy metrics overrate time-series anomaly detections?." Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 2022.
Audibert, Julien, et al. "Usad: Unsupervised anomaly detection on multivariate time series." Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020.
Choi, Seungoh, Jeong-Han Yun, and Sin-Kyu Kim. "A comparison of ICS datasets for security research based on attack paths." International Conference on Critical Information Infrastructures Security. Springer, Cham, 2018.
Lee, Jong-Hu, Kim, U-Nyeon, "Industrial Control System Security Requirements Standard Introduction", TTA, 2017
Hyeok-Ki Shin, Woomyo Lee, Jeong-Han Yun and Byung-Gil Min, "ICS security dataset", 2022. GitHub, Available at: https://github.com/icsdataset.
DACON, Industrial Control Systems Security Threat Detection AI Competition https://dacon.io/competitions/official/235624. Last accessed 23 Jun. 2022
iTrust: Swat datasets. https://itrust.sutd.edu.sg/itrust-labs_datasets/. Last accessed 23 Jun. 2022
Morris, T.H.: Industrial control system (ics) cyber attack datasets. https://sites.google.com/a/uah.edu/tommy-morris-uah/ics-data-sets. Last accessed 23 Jun. 2022
Lemay, A.: Scada network datasets. https://github.com/antoine-lemay/Modbus_dataset. Last accessed 23 Jun. 2022
Rodofile, N.R.: S7comm datasets. https://github.com/qut-infosec/2017QUT_S7comm. Last accessed 23 Jun. 2022
Into The Data, data sciense wiki - an omaly detection, https://intothedata.com/02.scholar_category/anomaly_detection. Last accessed 25 Jun. 2022
Mahesh, Batta. "Machine learning algorithms-a review." International Journal of Science and Research (IJSR).[Internet] 9 (2020): 381-386.
DATA SCIENCE BLOG, 2018, https://www.datascienceblog.net/post/commentary/inference-vs-prediction. Last accessed 25 Jun. 2022
Bae, Sungho, Chanwoong Hwang, and Taejin Lee. "Research on Improvement of Anomaly Detection Performance in Industrial Control Systems." International Conference on Information Security Applications. Springer, Cham, 2021.
Seong, ChangMin, et al. "Towards Building Intrusion Detection Systems for Multivariate Time-Series Data." Silicon Valley Cybersecurity Conference. Springer, Cham, 2021.
HyoSeok Kim, Yong-Min Kim. "Abnormal Detection for Industrial Control Systems Using Ensemble Recurrent Neural Networks Model." Journal of The Korea Institute of Information Security & Cryptology 31.3 (2021).
Kim, Doyeon, Chanwoong Hwang, and Taejin Lee. "Stacked-autoencoder based anomaly detection with industrial control system." International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Springer, Cham, 2021.
ORIDORI, DACON, https://dacon.io/competitions/official/235757/codeshare/4600?page1&dtyperecent. Last accessed 3 Jul. 2022
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.