A genomic rule-based KNN model for fast flux botnet detection

A genomic rule-based KNN model for fast flux botnet detection

Fast Flux Botnet (FFB) is an advance method developed by cyber criminals to perpetrate distributed malicious attacks. The major problems of existing FFB detection systems are the vulnerability to evasion mechanisms, long detection time, and high dimensionality of the feature set. In this study, an i...

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Bibliographic Details
Main Authors: Adigun, M.O (Author), Ajagbe, S.A (Author), Awotunde, J.B (Author), Ayo, F.E (Author), Folorunso, S.O (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2023
Subjects:
Botnet
Botnet Detection
Botnet detections
Botnets
Cybersecurity
Decision trees
Detection system
Fast flux
Fast flux botnet
Fast Flux Botnet
Fuzzy Logic
Fuzzy-Logic
Genes
Genetic Algorithm
Genetic algorithms
Internet protocols
K-near neighbor
K-Nearest Neighbor
Motion compensation
Nearest neighbor search
Nearest-neighbour
Rule based
Standard deviation
Statistical tests
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