Welcome to IJSDR

IJSDR

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

Submit Paper Online

Call For Paper

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

Click Here For more Info

Imp Links for Author

Imp Links for Reviewer

Research Area

Subscribe IJSDR

Visitor Counter

Indexing Partner

Published Paper Details

Paper Title:	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.
Keywords:	Machine Learning, IOT-Botnet, Support Vector Machine, Pre- processing, Feature Extraction, Classification.
Cite Article:	"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:	000337212
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

Click Here to Download This Article

Article Preview
Click here for Article Preview

Major Indexing from www.ijsdr.org

Google Scholar	ResearcherID Thomson Reuters	Mendeley : reference manager	Academia.edu
arXiv.org : cornell university library	Research Gate	CiteSeerX	DOAJ : Directory of Open Access Journals
DRJI	Index Copernicus International	Scribd	DocStoc

Track Paper

Track Submitted Paper

Important Links

Call For Paper

Join As Reviewer

Conference Proposal

CLICK HERE
For Conference Prposal

ISSN

DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related

Open Access License Policy

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

Social Media

IJSDR

Indexing Partner

For Authors Sample Paper Format Submit Paper Online Call For Paper Copyright Form Undetaking Form Publication Charges FAQ Contact US	Publications Current Issue Past Issue	Proposals Join As a Reviewer Editiorial Board Join in RMS Program Conference Proposal	Policies Privacy Policy Payment Terms and Condition Copyright Infringement Claims Payment Refund Policy
Copyright © 2024 - All Rights Reserved - IJSDR