Building APT Malicious Attacker Profiles for Power Monitoring Systems with Machine Learning-Reference-Cited by-同舟云学术

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Building APT Malicious Attacker Profiles for Power Monitoring Systems with Machine Learning

Published:2023-12-01 Issue: Volume: Page:418-425
ISSN:
Container-title:2023 4th International Conference on Advanced Electrical and Energy Systems (AEES)
language:
Short-container-title:

Author:

Cao Yang¹,Su Yang²,Guo Shuyang¹,Wang Hao³

Affiliation:

1. China Southern Power Grid,Power Dispatching and Control Center,Guangzhou,China

2. South China University of Technology,Power Dispatching and Control Center, China Southern Power Grid,Guangzhou,China

3. State Grid Electric Power Research Institute,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468573/10468667/10469045.pdf?arnumber=10469045

Reference15 articles.

1. APT Malware Classification Method Based on Feature Fusion

2. An APT Malware Classification Method Based on Adaboost Feature Selection and LightGBM

3. APT Malicious Sample Organization Traceability Based on Text Transformer Model

4. APT Traffic Detection Based on Time Transform

5. An APT Trojans Detection Method for Cloud Computing Based on Memory Analysis and FCM

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