Mobile Device Fingerprinting Recognition using Insensitive Information-Reference-Cited by-同舟云学术

Mobile Device Fingerprinting Recognition using Insensitive Information

Published:2022-10-28 Issue: Volume: Page:
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Container-title:2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
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Author:

Wei Dujia¹,Gu Ye²,Du Yawei¹

Affiliation:

1. Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China

2. Samoyed Cloud Technology Group Holdings Limited,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009640/10009646/10009697.pdf?arnumber=10009697

Reference17 articles.

1. FPRandom: Randomizing Core Browser Objects to Break Advanced Device Fingerprinting Techniques

2. IoT Device Fingerprint using Deep Learning

3. Feature selection for high-dimensional data: A fast correlation-based filter solution;lei;Machine Learning Proceedings of the Twentieth International Conference (ICML 2003),2003

4. Advice for internet subnet-work designers;karn;Internet Request for Comments RFC 793,2004

5. Towards automatic fingerprinting of iot devices in the cyberspace;kai;Computer Networks,2019

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