An Intrusion Detection Algorithm Based on Hybrid Autoencoder and Decision Tree-Reference-Cited by-同舟云学术

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An Intrusion Detection Algorithm Based on Hybrid Autoencoder and Decision Tree

Published:2022-10-14 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Information Science and Technology (ICIST)
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Author:

Du Xiaoyu¹,Lin Lvzhou²,Han Zhijie³,Zhang Changtao²

Affiliation:

1. School of Computer and Information Engineering,Henan Engineering Laboratory of Spatial Information Processing Henan University,Henan,China

2. School of Computer and Information Engineering, Henan University,Henan,China

3. School of Software, Henan University,Henan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926748/9926742/09926895.pdf?arnumber=9926895

Reference10 articles.

1. Impact of network attacks implementation on performance metrics of simulated mobile adhoc network segment

2. A Survey on DDoS Attack and Defense Strategies: From Traditional Schemes to Current Techniques

3. Variational autoencoder based anomaly detection using reconstruction probability;an;Special Lecture on IE,0

4. Research on a PSO-H-SVM-Based Intrusion Detection Method for Industrial Robotic Arms

5. Towards evaluating the robustness of deep intrusion detection models in adversarial environment;sriram;International Symposium on Security in Computing and Communication,2019

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