Title

Botnet Detection Approach for the Distributed Systems

Abstract

This article presents the technique for botnet detection using the distributed systems in the local area network. Distributed system contains host and network levels. At the host level, the botnets detection is based on Bayes classification. In order to perform the classification, the classes and subclasses were constructed on the basis of botnets patterns. An algorithm for classifier training was developed. The network level provides the exchange of the classification results for the knowledge transfer to the rest of the antivirus program units of the distributed system.

Meeting Name

10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2019 (2019: Sep. 18-21, Metz, France)

Department(s)

Computer Science

Keywords and Phrases

Attacks; Botnet; Botnet Detection; Distributed systems; Malware; Naive Bayes classifier; Network security

International Standard Book Number (ISBN)

978-172814069-8

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Sep 2019

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