A Robust IoT Device Identification Method with Unknown Traffic Detection-Reference-Cited by-同舟云学术

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A Robust IoT Device Identification Method with Unknown Traffic Detection

Published:2021 Issue: Volume: Page:190-202
ISSN:0302-9743
Container-title:Wireless Algorithms, Systems, and Applications
language:
Short-container-title:

Author:

Hu Xiao,Li Hong,Shi Zhiqiang,Yu Nan,Zhu Hongsong,Sun Limin

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-85928-2_15

Reference17 articles.

1. Fan, X., et al.: Buildsensys: reusing building sensing data for traffic prediction with cross-domain learning. IEEE Trans. Mob. Comput. 20(6), 2154–2171 (2020b)

2. Cai, Z., Shi, T.: Distributed query processing in the edge assisted IoT data monitoring system.: IEEE Internet of Things Journal (2020)

3. Zheng, X., Cai, Z., Li, J., Gao, H.: An application-awarescheduling policy for real-time traffic. In: In 2015 IEEE 35th International Conference on Distributed Computing Systems, pp. 421–430. IEEE (2015)

4. Cai, Z., Zheng, X., Yu, J.: A differential-private framework for urban traffic flows estimation via taxi companies. IEEE Trans. Ind. Inform. 15(12), 6492–6499 (2019)

5. Ortiz, J., Crawford, C., Le, F.: Devicemien: network device behavior modeling for identifying unknown IoT devices. In: Proceedings of the International Conference on Internet of Things Design and Implementation, pp. 106–117 (2019)

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. An Evolutionary Learning Approach Towards the Open Challenge of IoT Device Identification;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

2. Adaptive Threshold for Unknown Traffic Identification;2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS);2022-11-26

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