IoT Security Performance Intelligent Prediction Based on Lightweight M-SqueezeNet-Reference-Cited by-同舟云学术

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IoT Security Performance Intelligent Prediction Based on Lightweight M-SqueezeNet

Published:2023-07-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT)
language:
Short-container-title:

Author:

Zhou Xinpeng¹,Xu Lingwei¹,Cao Shubo¹,Li Yufang¹,Fu Yong²

Affiliation:

1. Qingdao University of Science and Technology,Qingdao,China

2. Qilu University of Technology (Shandong Academy of Sciences),Shandong Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244769/10244774/10245951.pdf?arnumber=10245951

Reference18 articles.

1. Outage Probability Performance Analysis and Prediction for Mobile IoV Networks Based on ICS-BP Neural Network

2. Deep Learning-based Privacy Preservation and Data Analytics for IoT Enabled Healthcare

3. A Classification Algorithm of Grain Crop Image Based on Improved SqueezeNet Model

4. Wireless Information-Theoretic Security

5. Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network

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