Enhancing the security in cyber-world by detecting the botnets using ensemble classification based machine learning
With various malware, botnets are the legitimate risk increasing against cybersecurity providing criminal operations like malware dispersal, distributed denial of service attacks, fraud clicking, phishing, and identification of theft. Existing techniques used for detection of botnet, which are suita...
Main Authors: | Sathiyandrakumar Srinivasan, Deepalakshmi P |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-02-01
|
Series: | Measurement: Sensors |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917422002586 |
Similar Items
-
Reliable Machine Learning Model for IIoT Botnet Detection
by: Fatma Taher, et al.
Published: (2023-01-01) -
A Survey on Botnets, Issues, Threats, Methods, Detection and Prevention
by: Harry Owen, et al.
Published: (2022-02-01) -
Botnet Detection Approach Using Graph-Based Machine Learning
by: Afnan Alharbi, et al.
Published: (2021-01-01) -
Botnet Vulnerability Intelligence Clustering Classification Mining and Countermeasure Algorithm Based on Machine Learning
by: Zenan Chu, et al.
Published: (2019-01-01) -
Machine Learning-Based Botnet Detection in Software-Defined Network: A Systematic Review
by: Khlood Shinan, et al.
Published: (2021-05-01)