A Novel HTTP Anomaly Detection Framework Based on Edge Intelligence for the Internet of Things (IoT)-Reference-Cited by-同舟云学术

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A Novel HTTP Anomaly Detection Framework Based on Edge Intelligence for the Internet of Things (IoT)

Published:2021-04 Issue:2 Volume:28 Page:159-165
ISSN:1536-1284
Container-title:IEEE Wireless Communications
language:
Short-container-title:IEEE Wireless Commun.

Author:

An Yufei,Li Jianqiang,Yu F. Richard,Chen Jianyong,Leung Victor C. M.

Funder

Natural Science Foundation of Guangdong Province-Outstanding Youth Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7742/9430897/09261961.pdf?arnumber=9261961

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. A Vertical Heterogeneous Network (VHetNet)-Enabled Asynchronous Federated Learning-Based Anomaly Detection Framework for Ubiquitous IoT;IEEE Open Journal of the Communications Society;2024

2. Adversarial Attack with Genetic Algorithm against IoT Malware Detectors;ICC 2023 - IEEE International Conference on Communications;2023-05-28

3. Research on Design of Internet of Things Gateway for Adaptive Data Acquisition of Power Transmission, Transformation and Distribution Based on Edge Intelligence;2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI);2023-04

4. Enabling All In-Edge Deep Learning: A Literature Review;IEEE Access;2023

5. Security and Privacy on 6G Network Edge: A Survey;IEEE Communications Surveys & Tutorials;2023

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