Defining Attack Patterns for Industrial Control Systems

Author:

Chan Raymond,Chow Kam-Pui,Chan Chun-Fai

Publisher

Springer International Publishing

Reference16 articles.

1. J. Bozic and F. Wotawa, Security testing based on attack patterns, Proceedings of the Seventh IEEE International Conference on Software Testing, Verification and Validation Workshops, pp. 4–11, 2014.

2. Z. Flom, Shedding light on BlackEnergy with open source intelligence, Recorded Future Blog ( www.recordedfuture.com/blackenergy-malware-analysis ), March 3, 2016.

3. E. Gamma, R. Helm, R. Johnson and J. Vlissides, Design Patterns: Elements of Reusable Object-Oriented Software, Addison-Wesley, Boston, Massachusetts, 1994.

4. M. Gegick and L. Williams, Matching attack patterns to security vulnerabilities in software-intensive system designs, Proceedings of the Workshop on Software Engineering for Secure Systems - Building Trustworthy Applications, 2005.

5. M. Havis, Chernobyl under attack: Computers “shut down” at nuclear disaster plant, Daily Star, June 27, 2017.

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1. Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges;Journal of Intelligent Information Systems;2022-10-12

2. Analyzing the Impact of Cyberattacks on Industrial Control Systems using Timed Automata;2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS);2021-12

3. Anomaly detection for industrial control operations with optimized ABC–SVM and weighted function code correlation analysis;Journal of Ambient Intelligence and Humanized Computing;2020-11-04

4. Dynamic Adjusting ABC-SVM Anomaly Detection Based on Weighted Function Code Correlation;Machine Learning for Cyber Security;2020

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