|
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 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | Performance Analysis of Various Machine Learning based Algorithms on Cyber security Approaches |
| Authors Name: | Mr. VS.Pavan Kumar , Dr.S.Arivalagan , Dr.M.Murugesan , Dr.P.Sudhakar |
| Unique Id: | IJSDR2303050 |
| Published In: | Volume 8 Issue 3, March-2023 |
| Abstract: | Pervasive use and development of the Internet and its mobile applications extended cyberspace. Cyberspace is prone to prolong and automated cyber-attacks. Cyber security methods render advancements in security measures to find cyberattacks. Conventional security systems are ineffective as cybercriminals were smart enough to avoidclassical security systems. Traditional security system is ineffective in identifying polymorphic security attacks. Machine learning (ML) approaches had a significant contributiontovarious applications of cybersecurity. In spite of the success, there exist certain difficultiesin assuringthe reliability of the ML mechanism. There were incentivized malicious adversariespresented in cyberspace that are ready to use these ML vulnerabilities. This study offers a detailed examination of various ML models to detect cyberattacks and accomplish cybersecurity. This study presents a detailed discussion of existing ML models for cyber security comprising intrusion detection, spam detection, and malware detection in recent days. In addition, the basic concepts of cybersecurity and cyberattacks are elaborated in detail. In addition, we have discussed the existing ML models for cybersecurity along with their aim, methodology, and experimental data. At the end of the study, a detailed overview of cybersecurity, cyberattacks, and recent cyberattack detection models are elaborated briefly. |
| Keywords: | Cybersecurity; Machine learning; Cyberattacks; Data driven models; Security; Artificial Intelligence |
| Cite Article: | "Performance Analysis of Various Machine Learning based Algorithms on Cyber security Approaches", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.300 - 306, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303050.pdf |
| Downloads: | 00021 |
| Publication Details: | Published Paper ID: IJSDR2303050 Registration ID:204379 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: 300 - 306 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| 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
Important Links
Conference Proposal
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
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2023 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn