A survey on analyzing encrypted network traffic of mobile devices-Reference-Cited by-同舟云学术

A survey on analyzing encrypted network traffic of mobile devices

Published:2022-02-25 Issue:4 Volume:21 Page:873-915
ISSN:1615-5262
Container-title:International Journal of Information Security
language:en
Short-container-title:Int. J. Inf. Secur.

Author:

Agrawal Ankit,Bhatia Ashutosh^ORCID,Bahuguna Ayush,Tiwari Kamlesh,Haribabu K.,Vishwakarma Deepak,Kaushik Rekha

Funder

Defence Research and Development Organisation

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10207-022-00581-y.pdf

Reference122 articles.

1. May 2020 Mobile User Statistics: Discover the Number of Phones in The World & Smartphone Penetration by Country or Region. https://www.bankmycell.com/blog/how-many- phones-are-in-the-world. Accessed 05 May 2020

2. Percentage of mobile device website traffic worldwide from 1st quarter 2015 to 1st quarter 2021, https://www.statista.com/statistics/277125/share-of-website-traffic-coming-from-mobile-devices/. Accessed 12 Dec 2021

3. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2017–2022 White Paper, https://s3.amazonaws.com/media.mediapost.com/uploads/CiscoForecast.pdf. Accessed 12 Dec 2021

4. C. Systems, Mobile Data Traffic Outlook - Mobility Report. https://www.ericsson.com/en/mobility-report/reports/june-2019/mobile-data-traffic-outlook. Accessed 15 Nov 2019

5. Cisco Visual Networking Index: Global - 2021 Forecast Highlights. https://www.cisco.com/c/dam/m/en_us/solutions/service-provider/vni-forecast-highlights/pdf/Global_2021_Forecast_Highlights.pdf. Accessed 12 Dec 2021

Cited by 6 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. Deep learning and pre-training technology for encrypted traffic classification: A comprehensive review;Neurocomputing;2024-08

2. A novel method for mobile application recognition in encrypted channels;Electronic Research Archive;2023

3. CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features;IEEE Access;2023

4. Intelligent Caching for Mobile Video Streaming in Vehicular Networks with Deep Reinforcement Learning;Applied Sciences;2022-11-23

5. The Effect of Network Environment on Traffic Classification;2022 12th International Conference on Computer and Knowledge Engineering (ICCKE);2022-11-17