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Enmob: Unveil the Behavior with Multi-flow Analysis of Encrypted App Traffic

Overview of attention for article published in Cybersecurity, April 2025
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About this Attention Score

  • Among the highest-scoring outputs from this source (#30 of 167)
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

patent
2 patents
bluesky
1 Bluesky user

Readers on

mendeley
7 Mendeley
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Article details
Title
Enmob: Unveil the Behavior with Multi-flow Analysis of Encrypted App Traffic
Published in
Cybersecurity, April 2025
DOI 10.1186/s42400-024-00301-0
Authors

Ge Mengmeng, Feng Ruitao, Liu Likun, Yu Xiangzhan, Sachidananda Vinay, Xie Xiaofei, Liu Yang

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Timeline Attention over time Attention Score history
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Unspecified 1 14%
Student > Bachelor 1 14%
Lecturer 1 14%
Unknown 4 57%
Readers by discipline
Readers by discipline Count As %
Computer Science 2 29%
Unspecified 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2026.
All research outputs
#10,948,336
of 33,510,145 outputs
Outputs from Cybersecurity
#30
of 167 outputs
Outputs of similar age
#106,263
of 354,582 outputs
Outputs of similar age from Cybersecurity
#1
of 21 outputs
Altmetric has tracked 33,510,145 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 167 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,582 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.