Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
This study suggested that the works previously done on machine learning (ML) based applications in Cyber Security. The organization of review on the existing published works is not historic and instead thematic. The paper comprises into the contains related works based on ML for DGA generated domain name detection, intrusion detection, network traffic data analysis, spam, and phishing activities data analysis, malware data analysis, and Android malware data analysis respectively. This study helps to understand cybersecurity and use of Machine learning application.
Keywords:
Machine learning , Cybercrime, malware, data analysis
Cite Article:
"Survey on Machine learning Applications in Cyber Security Problems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.56 - 61, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206010.pdf
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000205261
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator