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Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification

Overview of attention for article published in Journal of Information Security and Applications, February 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#32 of 165)
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification
Published in
Journal of Information Security and Applications, February 2023
DOI 10.1016/j.jisa.2022.103398
Authors

Andrew McCarthy, Essam Ghadafi, Panagiotis Andriotis, Phil Legg

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 11%
Student > Bachelor 3 7%
Researcher 3 7%
Student > Doctoral Student 2 4%
Other 2 4%
Other 5 11%
Unknown 25 56%
Readers by discipline Count As %
Computer Science 14 31%
Engineering 3 7%
Business, Management and Accounting 1 2%
Psychology 1 2%
Economics, Econometrics and Finance 1 2%
Other 0 0%
Unknown 25 56%
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 08 January 2023.
All research outputs
#7,786,691
of 25,392,582 outputs
Outputs from Journal of Information Security and Applications
#32
of 165 outputs
Outputs of similar age
#143,767
of 471,974 outputs
Outputs of similar age from Journal of Information Security and Applications
#1
of 5 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 165 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 80% 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 471,974 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them