Accurately Identify and Localize Commodity Devices from Encrypted Smart Home Traffic-Reference-Cited by-同舟云学术

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Accurately Identify and Localize Commodity Devices from Encrypted Smart Home Traffic

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 18th International Conference on Mobility, Sensing and Networking (MSN)
language:
Short-container-title:

Author:

Guo Xing¹,Quan Jie¹,Hou Jiahui²,Zhou Hao²,He Xin³,He Tao⁴

Affiliation:

1. School of Computer Science and Technology, Anhui University,Hefei,China

2. School of Computer Science and Technology, University of Science and Technology of China,Hefei,China

3. School of Computer and Information, Anhui Normal University,Wuhu,China

4. School of Military and political Basic Education, National University of Defense Technology,Changsha,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10076543/10076544/10076752.pdf?arnumber=10076752

Reference21 articles.

1. Memoryless Techniques and Wireless Technologies for Indoor Localization With the Internet of Things

2. Performance comparison of indoor positioning techniques based on location fingerprinting in wireless networks;lin;2005 International Conference on Wireless Networks Communications and Mobile Computing,2005

3. Accurate Passive Location Estimation Using TOA Measurements

4. Recurrent neural networks for accurate rssi indoor localization;tu hoang;IEEE Internet of Things Journal,2019

5. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012

Cited by 2 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. On the accuracy of BLE indoor localization systems: An assessment survey;Computers and Electrical Engineering;2024-09

2. On the Accuracy of Ble Indoor Localization Systems: An Assessment Survey;2024

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