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An ensemble deep learning based IDS for IoT using Lambda architecture

Overview of attention for article published in Cybersecurity, March 2023
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Mentioned by

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1 X user

Citations

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11 Dimensions

Readers on

mendeley
53 Mendeley
Title
An ensemble deep learning based IDS for IoT using Lambda architecture
Published in
Cybersecurity, March 2023
DOI 10.1186/s42400-022-00133-w
Authors

Rubayyi Alghamdi, Martine Bellaiche

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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 9%
Lecturer 3 6%
Student > Bachelor 3 6%
Student > Master 3 6%
Student > Ph. D. Student 3 6%
Other 1 2%
Unknown 35 66%
Readers by discipline Count As %
Computer Science 11 21%
Unspecified 5 9%
Engineering 2 4%
Unknown 35 66%
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 07 March 2023.
All research outputs
#17,301,727
of 25,394,764 outputs
Outputs from Cybersecurity
#34
of 48 outputs
Outputs of similar age
#247,913
of 422,285 outputs
Outputs of similar age from Cybersecurity
#1
of 1 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 14 of them.
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 422,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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