Software Defined Security Architecture with Deep Learning-Based Network Anomaly Detection Module-Reference-Cited by-同舟云学术

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Software Defined Security Architecture with Deep Learning-Based Network Anomaly Detection Module

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)
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Author:

Zhang Gang,Qiu Xiaofeng,Gao Yang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8892590/8905245/08905304.pdf?arnumber=8905304

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hierarchical-Based Dynamic Scenario-Adaptive Risk Assessment for Power Data Lifecycle;Electronics;2024-02-02

2. Network Security and Protection Strategies for Big Data: Challenges and Innovations;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

3. A Novel HTTP Anomaly Detection Framework Based on Edge Intelligence for the Internet of Things (IoT);IEEE Wireless Communications;2021-04

4. Machine Learning and Deep Learning Models for Big Data Issues;Studies in Computational Intelligence;2020-12-15

5. ADSAD: An unsupervised attention-based discrete sequence anomaly detection framework for network security analysis;Computers & Security;2020-12

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