2020
DOI: 10.31838/jcr.07.06.67
|View full text |Cite
|
Sign up to set email alerts
|

Accurate Identification and Detection of Outliers in Networks Using Group Random Forest Methodoly

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…Security attacks can be reduced by cryptography methods [18]. The MANET is a portable network and can be formed wherever necessary and because of its dynamic nature, MANETs frequently undergo several attacks [19]. The proposed method needs to improve security for the data in the network to improve packet delivery rate and the throughput of the system [20].…”
Section: Introductionmentioning
confidence: 99%
“…Security attacks can be reduced by cryptography methods [18]. The MANET is a portable network and can be formed wherever necessary and because of its dynamic nature, MANETs frequently undergo several attacks [19]. The proposed method needs to improve security for the data in the network to improve packet delivery rate and the throughput of the system [20].…”
Section: Introductionmentioning
confidence: 99%