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
Comparison And Analysis of Various Machine Learning and Deep Learning Algorithms for Malware Detection System
Authors Name:
Amulya R
, Radhika K R
Unique Id:
IJSDR2307177
Published In:
Volume 8 Issue 7, July-2023
Abstract:
People depend on the Cyberspace for their everyday tasks, and it has long been a component of people's lives. The Internet has a lot of benefits and disadvantages. When a system is connected to the Internet, then those are prone to attacks. Few attacks are noticeable, but few go unnoticed. These unnoticed attacks have a huge impact and are not easy to detect or recognize. One among those is Malware attack. In this attack, the system tends to behave differently at a slow pace. There are numerous methodologies that could be utilized to find the dangerous software. As part of this study, various works are referred to and compared with their methodology and limitations.
Keywords:
malware detection, cyber-crimes, machine learning, deep learning, malware
Cite Article:
"Comparison And Analysis of Various Machine Learning and Deep Learning Algorithms for Malware Detection System ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 7, page no.1192 - 1201, July-2023, Available :http://www.ijsdr.org/papers/IJSDR2307177.pdf
Downloads:
000338536
Publication Details:
Published Paper ID: IJSDR2307177
Registration ID:207810
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 1192 - 1201
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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