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An SVM-based framework for detecting DoS attacks in virtualized clouds under changing environment

Overview of attention for article published in Journal of Cloud Computing, April 2018
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Mentioned by

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1 X user

Citations

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30 Dimensions

Readers on

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62 Mendeley
Title
An SVM-based framework for detecting DoS attacks in virtualized clouds under changing environment
Published in
Journal of Cloud Computing, April 2018
DOI 10.1186/s13677-018-0109-4
Authors

Adel Abusitta, Martine Bellaiche, Michel Dagenais

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Student > Master 6 10%
Student > Bachelor 4 6%
Student > Doctoral Student 4 6%
Lecturer 3 5%
Other 9 15%
Unknown 22 35%
Readers by discipline Count As %
Computer Science 30 48%
Engineering 4 6%
Unspecified 3 5%
Social Sciences 1 2%
Agricultural and Biological Sciences 1 2%
Other 0 0%
Unknown 23 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 April 2018.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Journal of Cloud Computing
#89
of 256 outputs
Outputs of similar age
#209,019
of 327,997 outputs
Outputs of similar age from Journal of Cloud Computing
#2
of 5 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 256 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 327,997 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
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 3 of them.