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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: May 2023

Volume 8 | Issue 5

Impact factor: 8.15

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Published Paper Details
Authors Name: P Anvesh Reddy , Mrs.K Anuranjani , S Pavan Kumar Reddy , V Bhuvana Chandra , C Aniketh
Unique Id: IJSDR2305041
Published In: Volume 8 Issue 5, May-2023
Abstract: We can better grasp how the threat environment has evolved by analyzing data sets on cyber incidents. We learn about numerous cyber breaches and hacking incidents that occur today. In this project, we look at the numerous cyber-attacks and breaches, analyze how they are carried out, and come up with a replacement. We demonstrate that since these attacks include autocorrelations, we should characterize both the hacking breach incident inter-arrival periods and breach sizes using stochastic processes. We come to a few conclusions about cyber security, one of which is that the threat posed by hacker attacks is indeed increasing. The algorithms Convolution Neural Network (CNN) and Recurrent Neural Network (RNN) will be used in our study to analyze the findings.
Keywords: Machine learning, Man in the Middle attack, Cybersecurity ,Network securityTraffic analysis,Convolutional Neural Network ,Decision Tree ,Random Forest
Cite Article: "MACHINE LEARNING APPROACH TO IDENTIFY MAN IN THE MIDDLE ATTACK. ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.290 - 293, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305041.pdf
Downloads: 000222060
Publication Details: Published Paper ID: IJSDR2305041
Registration ID:206160
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 290 - 293
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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