Latent class choice model with a flexible class membership component: A mixture model approach

2021 ◽  
Vol 41 ◽  
pp. 100320
Author(s):  
Georges Sfeir ◽  
Maya Abou-Zeid ◽  
Filipe Rodrigues ◽  
Francisco Camara Pereira ◽  
Isam Kaysi
2021 ◽  
pp. 089443932199423
Author(s):  
George W. Burruss ◽  
C. Jordan Howell ◽  
David Maimon ◽  
Fangzhou Wang

Hackers often engage in website defacement early in their criminal careers to establish a reputation. Some hackers become increasingly prolific and launch a large number of attacks against their targets, whereas others only launch a few attacks before eventually desisting from a life of crime. A better understanding of why some hackers launch a large number of attacks, while others do not, will assist in the implementation of targeted intervention strategies. Therefore, the current study, using a sample of 119 active hackers, seeks to answer two research questions: (1) Are there different groups of website defacers based on attack volume? (2) Which observed hacker-level characteristics can be used to predict latent class membership? We find that two unique groups of website defacers exist: low-volume defacers (69%) and high-volume defacers (31%). Social media presence, the content of the defacement, and the type of defacement are all predictive of latent class membership. Policy implications are discussed.


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