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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM18697

Botnet Detection Based on Machine Learning Techniques in P2P Networks

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM18697

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PKP

Pavana K P

RAHR

Rohith Adiga H R

SML

Shubha M L

VPKG

Vinayaka Patil K G

MHG

Mohan H G

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Abstract

A botnet is a network of computers that are controlled from a botmaster or a command and-control server. Botnet is a major threat on the internet. P2P botnet is a representative of P2P malicious programs. Botmaster gives a command and control (C&C) information via a unique communication channel. It remotely controls the bots that are compromised to initiate malicious activities like distributed denial of service (DDoS) attack, spamming, phishing, and sensitive information stealing. The approaches using Machine learning are used in botnet detection. They are useful to extract unexpected patterns from traffic. In this paper some of the possible technical solutions proposed by researchers are reviewed.

KEYWORDS

Botnet malicious programs botnet detection

Cite This Article

Pavana K P, Rohith Adiga H R, Shubha M L, Vinayaka Patil K G, Mohan H G, "Botnet Detection Based on Machine Learning Techniques in P2P Networks," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM18697

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Publication Date

7/3/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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