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A Big Data Framework for Criminal Investigation using Call Detail Records

by Mohamed A. Zawra, O.E. Emam, M. Elemam.Shehab
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 26
Year of Publication: 2023
Authors: Mohamed A. Zawra, O.E. Emam, M. Elemam.Shehab
10.5120/ijca2023923012

Mohamed A. Zawra, O.E. Emam, M. Elemam.Shehab . A Big Data Framework for Criminal Investigation using Call Detail Records. International Journal of Computer Applications. 185, 26 ( Aug 2023), 46-52. DOI=10.5120/ijca2023923012

@article{ 10.5120/ijca2023923012,
author = { Mohamed A. Zawra, O.E. Emam, M. Elemam.Shehab },
title = { A Big Data Framework for Criminal Investigation using Call Detail Records },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2023 },
volume = { 185 },
number = { 26 },
month = { Aug },
year = { 2023 },
issn = { 0975-8887 },
pages = { 46-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number26/32856-2023923012/ },
doi = { 10.5120/ijca2023923012 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:08.646234+05:30
%A Mohamed A. Zawra
%A O.E. Emam
%A M. Elemam.Shehab
%T A Big Data Framework for Criminal Investigation using Call Detail Records
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 26
%P 46-52
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Call Detail Records (CDRs) can be considered as big data source as it has a huge volume, variety of data and high data rate, as well. The analysis of CDRs can produce big value and offer opportunities to maximize revenue and improve the community's standard of living. However, the analysis of such data with those characteristics calls for using big data technology. Big data analytics is a rapidly growing field that has the potential to revolutionize the way we handle various aspects of our lives. One area where this technology is particularly relevant is in criminal investigations, where the analysis of call detail records (CDRs) can provide valuable insights into the activities and movements of individuals associated with criminal activity. This paper proposes a framework that leverages the massive amounts of data generated by telecommunication networks to uncover valuable insights that can help criminal investigators. Furthermore, the proposed framework is optimized to reduce the underlying computing resources needed to analyze such huge amount of data and to improve the overall performance of the proposed framework, as well.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Call Detail Records (CDR) Big data analytics Criminal investigation.

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