BOTNET ATTACKS DETECTION IN INTERNET OF THINGS USING MACHINE LEARNING

Volume 20 No 4 (2022)

Dr. Nookala Venu , Dr.AArun Kumar , Mr. A.Sanyasi Rao

DOI: 10.14704/nq.2022.20.4.NQ22298

Abstract

The number of Internet-of-Things (IoT) devices has significantly expanded as a result of the growing reliance on the Internet and the associated rise in connectivity demand. According to recent research,the increasing adoption of IoT devices has in turn increased network threats since there are more possible attack surfaces.

Keywords

IoT, Botnet Detection, Optimization, Security, Botnet attack, DoS attacks, DDoS attacks, Machine Learning(ML).

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.