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 → …

Disciplines

Social and Behavioral Sciences
Criminology and Criminal Justice
Criminology

UN SDGs

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

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

Disciplines

UN SDGs

Other files and links

Cite this