A New Profile of Cybecrime: An Application of Statistical Profiling on Computer-Related Crime

Cassandra E. Dodge; Bryanna Fox

A New Profile of Cybecrime: An Application of Statistical Profiling on Computer-Related Crime

Cassandra E. Dodge
, Bryanna Fox

Criminal Justice & Criminology

University of South Florida

Research output: Contribution to conference › Presentation

Abstract

Presentation given at American Society of Criminology Conference at Atlanta, GA.

Original language	American English
State	Published - Nov 16 2018
Event	American Society of Criminology Conference - Chicago, IL Duration: Nov 20 2021 → …

Conference

Conference	American Society of Criminology Conference
Period	11/20/21 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Disciplines

Social and Behavioral Sciences
Criminology and Criminal Justice
Criminology

Cite this

@conference{5de873e6bfb84924b5811b501bd12b83,

title = "A New Profile of Cybecrime: An Application of Statistical Profiling on Computer-Related Crime",

abstract = " Presentation given at American Society of Criminology Conference at Atlanta, GA.",

author = "Dodge, \{Cassandra E.\} and Bryanna Fox",

note = "This research creates a new criminal profile for computer-related crime by establishing the link among certain offender traits and crime features. Utilizing the FBI's National Incident Based Reporting System (NIBRS) data from 2007 to 2015, a sample of 9,233 computer-related crimes were analyzed using latent class analysis (LCA) to identify underlying groups within the offender and offense characteristics.; American Society of Criminology Conference ; Conference date: 20-11-2021",

year = "2018",

month = nov,

day = "16",

language = "American English",

}

TY - CONF

T1 - A New Profile of Cybecrime: An Application of Statistical Profiling on Computer-Related Crime

AU - Dodge, Cassandra E.

AU - Fox, Bryanna

N1 - This research creates a new criminal profile for computer-related crime by establishing the link among certain offender traits and crime features. Utilizing the FBI's National Incident Based Reporting System (NIBRS) data from 2007 to 2015, a sample of 9,233 computer-related crimes were analyzed using latent class analysis (LCA) to identify underlying groups within the offender and offense characteristics.

PY - 2018/11/16

Y1 - 2018/11/16

N2 - Presentation given at American Society of Criminology Conference at Atlanta, GA.

AB - Presentation given at American Society of Criminology Conference at Atlanta, GA.

UR - http://tinyurl.com/yc8s76ca

M3 - Presentation

T2 - American Society of Criminology Conference

Y2 - 20 November 2021

ER -

A New Profile of Cybecrime: An Application of Statistical Profiling on Computer-Related Crime

Abstract

Conference

UN SDGs

Disciplines

Other files and links

Cite this