Automatic Mobile App Identification From Encrypted Traffic With Hybrid Neural Networks
The proliferation of handheld devices has led to an explosive growth of mobile traffic volumes on the Internet. Identifying mobile apps from network traffic has become a crucial task for mobile network management and security. Traditionally, the design of accurate identifiers relies on the deep pack...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9214897/ |