INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Machine Learning Based Model For Detecting IOT-BOTNET Cyber Attacks
Authors Name:
Miss. Thorat Preeti.D
, Miss. Shinde Manjusha.M , Miss. Tupake Pallavi. S , Miss. Vaidya Pratiksha. A , Prof. Patil.P.A
Unique Id:
IJSDR2205066
Published In:
Volume 7 Issue 5, May-2022
Abstract:
Due to the general expanding use of Internet of Things (IoT) systems and smart technological tools, they have now become targets for network attacks. Botnets are pre-configured attack vectors that allow attackers to take control of IoT systems and carry out malicious operations. To meet this problem, effective machine learning is required.as well as deep learning with the appropriate features to detect and protect the network from such threats, engineering is suggested.in the future, weaknesses. The representative dataset must be used to detect cyber-attacks effectively. In rare situations, the device’s functionality may be delayed. To design an appropriate security model for detecting cyber threats, the representative dataset must be well-structured for training the model and then validating the proposed system in order to develop the best security possible system model Keywords are your own designated keywords which can be used for easy location of the manuscript using any search engines.
"Machine Learning Based Model For Detecting IOT-BOTNET Cyber Attacks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 5, page no.348 - 352, May-2022, Available :http://www.ijsdr.org/papers/IJSDR2205066.pdf
Downloads:
000337214
Publication Details:
Published Paper ID: IJSDR2205066
Registration ID:200357
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 348 - 352
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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