UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 8
August-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2108415


Registration ID:
314219

Page Number

d359-d363

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Title

Prevent Cybercrime By Using Data Analytics Model

Abstract

The term "Cybercrime" refers to claimed wrongdoing and federal offences involving computers, communications, aims, and instruments, as well as to correspond with the widespread use of latest technology. Pornography, cyber-bullying, identity theft, cyber fraud, credit-and debit-card theft, cyber crime, privacy violations, graphic violence, malware, and other cyber hacking may be the common types of cyber-crime. In order to achieve this we are using four phases: In the first phase, For the investigation of cybercrime, we offer a data-analysis approach.; the second phase, we determine the CaaS; the third phase, we use an appropriate classification model; and in forth phase, we will create a sample application to demonstrate how to use the proposed classification, the structure of the model can be applied in practice. This article contributes to the design of artifact, as well as the ideas and methodologies utilized in the field, by using a design science research approach. They also provide useful information on the practice, such as advice on how governments and businesses of all sizes should prepare for cybercrime assaults on the dark web.

Key Words

Crimeware-as-a-service, Underground economy, Cybercrime

Cite This Article

"Prevent Cybercrime By Using Data Analytics Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.d359-d363, August-2021, Available :http://www.jetir.org/papers/JETIR2108415.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Prevent Cybercrime By Using Data Analytics Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppd359-d363, August-2021, Available at : http://www.jetir.org/papers/JETIR2108415.pdf

Publication Details

Published Paper ID: JETIR2108415
Registration ID: 314219
Published In: Volume 8 | Issue 8 | Year August-2021
DOI (Digital Object Identifier):
Page No: d359-d363
Country: Mandya, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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