research-article

CLogVis: Crime Data Analysis and Visualization Tool

Authors:

Hamdan Z. Alshammari,

Khaled S. AlghathbarAuthors Info & Claims

AWICT 2017: Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies

Article No.: 2, Pages 1 - 7

https://doi.org/10.1145/3231830.3231832

Published: 13 November 2017 Publication History

Abstract

Recently, cell phone usage has increased incrementally to huge numbers. Statistics show that a total number of mobile phone users worldwide, from 2013 to 2019, is about 60 percent of the Earth's population. This reflects that the use of cell phones is the traditional way of communicating for most of the people in the world. Making calls and sending text messages are the main methods of communication used with cell phones. The purpose of this work is to present "CLogVis," a crime data analysis and visualization system that helps police departments and security agencies connect criminals and suspects by using their cell phone data. Cell phones contain a huge amount of information that helps agencies and police departments in various ways find relationships and connections between criminals. Moreover, information in cell phones will expand in an incremental way when the suspect uses the Internet through their cell phone. In our system, we will be looking to build relationships and connecttions between criminals by using phonebooks and call history (inbound and outbound) to find the relationships between suspects. Regarding the nature of crime organizations, which are built on networks, graph techniques are used to build connections throughout datasets gathered from arrested suspects, criminals, and Telecommunications Service Provider (TSP) log files.

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Terrettaz-Zufferey, A. L., Ratle, F., Ribaux, O., Esseiva, P., & Kanevski, M. (2007). Pattern detection in forensic case data using graph theory: Application to heroin cutting agents. Forensic Science International, 167(2--3), 242--246.

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Terrettaz-Zufferey, A. L., Ratle, F., Ribaux, O., Esseiva, P., & Kanevski, M. (2007). Pattern detection in forensic case data using graph theory: Application to heroin cutting agents. Forensic Science International, 167(2--3), 242--246.

Cited By

Deeb-Swihart JEndert ABruckman A(2022)Ethical Tensions in Applications of AI for Addressing Human Trafficking: A Human Rights PerspectiveProceedings of the ACM on Human-Computer Interaction10.1145/35551866:CSCW2(1-29)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555186

Index Terms

CLogVis: Crime Data Analysis and Visualization Tool
1. Applied computing
  1. Computer forensics
    1. System forensics
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Data analytics

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cover image ACM Other conferences

AWICT 2017: Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies

November 2017

116 pages

ISBN:9781450353106

DOI:10.1145/3231830

Editor:
Hani Hamdan

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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CNRS: Centre National De La Rechercue Scientifique

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2017

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AWICT 2017

AWICT 2017: Second International Conference on Advanced Wireless Information, Data, and Communication Technologies

November 13 - 14, 2017

Paris, France

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Cited By

Deeb-Swihart JEndert ABruckman A(2022)Ethical Tensions in Applications of AI for Addressing Human Trafficking: A Human Rights PerspectiveProceedings of the ACM on Human-Computer Interaction10.1145/35551866:CSCW2(1-29)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555186

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