Towards Self-learning Industrial Process Behaviour from Payload Bytes for Anomaly Detection-Reference-Cited by-同舟云学术

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Towards Self-learning Industrial Process Behaviour from Payload Bytes for Anomaly Detection

Published:2023-09-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
language:
Short-container-title:

Author:

Meshram Ankush¹,Karch Markus²,Haas Christian²,Beyerer Jürgen¹

Affiliation:

1. Karlsruhe Institute of Technology,KASTEL Security Research Labs Vision and Fusion Laboratory (IES)

2. System Technologies and Image Exploitation (IOSB),Information Management and Production Control Fraunhofer Institute of Optronics,Karlsruhe,Germany

Funder

Helmholtz Association

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275065/10275329/10275358.pdf?arnumber=10275358

Reference17 articles.

1. On-line construction of suffix trees

2. Algorithms in Bioinformatics

3. A comprehensive beginner’s guide to the diverse field of anomaly detection;polzer,2022

4. Regular expression matching can be simple and fast (but is slow in java, perl, php, python, ruby,…);cox,2007

5. Linear pattern matching algorithms

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