Detecting Subspace Malicious Vectors Attack Against Smart Grid Using Sequence-Alignment Method-Reference-Cited by-同舟云学术

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Detecting Subspace Malicious Vectors Attack Against Smart Grid Using Sequence-Alignment Method

Published:2023-07-31 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Cyber Security and Resilience (CSR)
language:
Short-container-title:

Author:

Alotaibi Khaled¹,Rob Rafat²,Nour Dana³,Zamzami Doaa⁴

Affiliation:

1. Electrical & Computer Engineering North Carolina University,Dhahran,SA

2. Electrical Engineering Kansas State University,Dhahran,SA

3. Electrical & Computer Engineering Effat University,Dhahran,SA

4. Information Technology and Cybersecurity George Mason University,Dhahran,SA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10224900/10224823/10224936.pdf?arnumber=10224936

Reference23 articles.

1. Sequence Alignment

2. Detection of cyber attacks with access to partial data in power system using spy nodes

3. A Novel Approach Based on Spy Nodes for Protection from Malicious Data in a Cyber-Physical Power Systems State Estimation;khaled fyhan;North Carolina Agricultural and Technical State University,2016

4. Malware behaviour analysis

5. Activity Pattern Analysis by Means of Sequence-Alignment Methods

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