CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Survey of Call Detail Records (CDR) Analysis

by Mohamed A. Zawra, O.E. Emam, M. Elemam Shehab
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 13
Year of Publication: 2023
Authors: Mohamed A. Zawra, O.E. Emam, M. Elemam Shehab
10.5120/ijca2023922808

Mohamed A. Zawra, O.E. Emam, M. Elemam Shehab . A Survey of Call Detail Records (CDR) Analysis. International Journal of Computer Applications. 185, 13 ( Jun 2023), 27-29. DOI=10.5120/ijca2023922808

@article{ 10.5120/ijca2023922808,
author = { Mohamed A. Zawra, O.E. Emam, M. Elemam Shehab },
title = { A Survey of Call Detail Records (CDR) Analysis },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2023 },
volume = { 185 },
number = { 13 },
month = { Jun },
year = { 2023 },
issn = { 0975-8887 },
pages = { 27-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number13/32757-2023922808/ },
doi = { 10.5120/ijca2023922808 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:25:58.822805+05:30
%A Mohamed A. Zawra
%A O.E. Emam
%A M. Elemam Shehab
%T A Survey of Call Detail Records (CDR) Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 13
%P 27-29
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Call Detail Records (CDR) is one of the most important sources of information that could be used in many different aspects and ways to help the community. It is one of basic criminal activity detection techniques and it also creates new prospects for the telecommunication field. Never the less the analysis of CDR is not an easy task as it contains a huge amount of data with different varieties making it seen as a big data source. Consequently, big-data techniques and tools need to be employed to extract insights from such data. Not only that but also different graphical tools could be used for analyzing the huge amount of extracted data. There are many different challenges needed to be addressed when handling CDR. This survey paper presents what is CDR, how and why is it being used. Finally, it reviews the proposed frameworks in the literature that analyze the CDR to help prevent criminal acts.

References
  1. Kumar, D., Hanumanthappa, D., & Kumar, D. V. (2016). Crime Investigation and Criminal Network Analysis Using Archive Call Detail Records. International Conference on Advanced Computing (ICoAC) (pp. 46-50). IEEE
  2. S. B. Elagib, A. -H. A. Hashim and R. F. Olanrewaju (2015).CDR Analysis using Big Data Technology . International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (pp. 467-471). IEEE.
  3. Abuhamoud, N., & Geepalla, E. (2019). Analysis CDR for Crime Investigation using graph- based method (Neo4j). International Conference on Technical Sciences. (ICST2019).
  4. Iglesias, J. A., Ledezma, A., Sanchis, A., & Angelov, P. (2017). Real-Time Recognition of Calling Pattern and Behaviour of Mobile Phone Users through Anomaly Detection and Dynamically-Evolving Clustering. Applied Science MDPI, 7 (798), 1-14.
  5. Karatepe, I. A., & Zeydan, E. (2014). Anomaly Detection In Cellular Network Data Using Big Data Analytics. European Wireless 2014; 20th European Wireless Conference. Spain: VDE.
  6. Sultan, K., Ali, H., & Zhang, Z. (2018). Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks. IEEE ACCESS JOURNAL (July).
  7. Georgen, D., Mendiratta, V., State, R., & Engel, T. (2014). Analysis of large Call Data Records with Big Data. IPTComm.
Index Terms

Computer Science
Information Sciences

Keywords

Call Detail Records (CDR) Mobile Communication Big data anomalies analysis.

Powered by PhDFocusTM