Power Communication System DDoS Attack Detection Based on ARIMA-CNN Model
Author:
Affiliation:
1. State Grid Sichuan Ya'an Electric Power (Group) Co., Ltd,Ya'an,China
2. State Grid Sichuan Electric Power Company, Ya 'an Power Supply Company,Ya'an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10140170/10140192/10140789.pdf?arnumber=10140789
Reference20 articles.
1. The Improved LSTM and CNN Models for DDoS Attacks Prediction in Social Media
2. DDoS attack detection method based on LSTM traffic prediction [J];jieren;Journal of Huazhong University of Science and Technology(Natural Science Edition),2019
3. A novel deep learning model for detection of denial of service attacks in HTTP traffic over internet
4. A Lightweight Convolutional Neural Network architecture with slice feature map [J];yufeng;Pattern Recognition and Artificial Intelligence,2019
5. LSTM-BA: DDoS Detection Approach Combining LSTM and Bayes
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