Time is of the Essence: Machine Learning-Based Intrusion Detection in Industrial Time Series Data-Reference-Cited by-同舟云学术

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Time is of the Essence: Machine Learning-Based Intrusion Detection in Industrial Time Series Data

Published:2018-11 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Duque Anton Simon,Ahrens Lia,Fraunholz Daniel,Schotten Hans Dieter

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8626049/8637356/08637462.pdf?arnumber=8637462

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Green Lean Six Sigma in the food industry: a systematic literature review;British Food Journal;2024-06-28

2. Matrix Profile data mining for BGP anomaly detection;Computer Networks;2024-04

3. Deep Learning for Intrusion Detection Systems (IDSs) in Time Series Data;Future Internet;2024-02-23

4. Sketching Multidimensional Time Series for Fast Discord Mining;2023 IEEE International Conference on Big Data (BigData);2023-12-15

5. An Empirical Evaluation of Machine Learning Algorithms for Intrusion Detection in IIoT Networks;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

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