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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Paper Title
STUDY OF MACHINE LEARNING ALGORITHMS FOR FEASIBILITY OF CYBER SECURITY ISSUES
Authors
Mr. Pravin Gangadhar Kulurkar, DR. Syed Umar
Keywords
SVM, K-means, Decision tree, random forest
Abstract
The increased use of social media, online banking applications, as well as technological know-how by users of various age and gender groups, increases the chances of unnecessary actions such as network system blocking, phishing, and violence. People may find network outages dangerous or perhaps, in the case of a social media member, they may end up with irritating tweets, communications or messages that indicate violence, annoy victims, and warn about their activities. To prevent these incidents, machine learning can play an important role in extracting and analyzing usage activity data. This article presents the different machine learning algorithms that can be a solution to these types of problems.
IJCRT's Publication Details
Unique Identification Number - IJCRT2102330
Paper ID - 203436
Page Number(s) - 2723-2730
Pubished in - Volume 9 | Issue 2 | February 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Mr. Pravin Gangadhar Kulurkar, DR. Syed Umar, "STUDY OF MACHINE LEARNING ALGORITHMS FOR FEASIBILITY OF CYBER SECURITY ISSUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 2, pp.2723-2730, February 2021, Available at :http://www.ijcrt.org/papers/IJCRT2102330.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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