Mobile app identification for encrypted network flows by traffic correlation-Reference-Cited by-同舟云学术

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Mobile app identification for encrypted network flows by traffic correlation

Published:2018-12 Issue:12 Volume:14 Page:155014771881729
ISSN:1550-1477
Container-title:International Journal of Distributed Sensor Networks
language:en
Short-container-title:International Journal of Distributed Sensor Networks

Author:

He Gaofeng¹^ORCID,Xu Bingfeng²,Zhang Lu³,Zhu Haiting¹

Affiliation:

1. College of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China

2. College of Information Science and Technology, Nanjing Forestry University, Nanjing, China

3. College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China

Funder

National Key Technologies Research and Development Program of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

NUPTSF

Nanjing Forestry University

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/1550147718817292

Reference32 articles.

1. Enabling the Internet of Things

2. Secure attribute-based data sharing for resource-limited users in cloud computing

3. Security Vulnerabilities of Internet of Things: A Case Study of the Smart Plug System

4. Mobile malware detection through analysis of deviations in application network behavior

5. The Evolution of Android Malware and Android Analysis Techniques

Cited by 8 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. A Large-Scale Mobile Traffic Dataset For Mobile Application Identification;The Computer Journal;2023-08-02

2. Classification and Application of Long-duration Flows Based on Flow Behavior;2023 7th International Conference on Cryptography, Security and Privacy (CSP);2023-04

3. A malicious traffic detection method based on Bayesian meta-learning for few samples;International Journal of Embedded Systems;2023

4. Traffic Classification of Software-Defined Networks Using Machine Learning;ICT Infrastructure and Computing;2023

5. Markov‐GAN: Markov image enhancement method for malicious encrypted traffic classification;IET Information Security;2022-06-24

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