Paper Info
Title
Re-thinking Online Offenders’ SKRAM: Individual Traits and Situational Motivations as Additional Risk Factors for Predicting Cyber Attacks
Abstract
Cyber security experts in the U.S. and around the globe assess potential threats to their organizations by evaluating potential attackers' skills, knowledge, resources, access to the target organization and motivation to offend (i.e. SKRAM). Unfortunately, this model fails to incorporate insights regarding online offenders' traits and the conditions surrounding the development of online criminal event. Drawing on contemporary criminological models, we present a theoretical rationale for revising the SKRAM model. The revised model suggests that in addition to the classical SKRAM components, both individual attributes and certain offline and online circumstances fuel cyber attackers' motivation to offend, and increase the probability that a cyber-attack will be launched against an organization. Consistent with our proposed model, and its potential in predicting the occurrence of different types of cyber-dependent crimes against organizations, we propose that Information Technology professionals' efforts to facilitate safe computing environments should design new approaches for collecting indicators regarding attackers' potential threat, and predicting the occurrence and timing of cyber-dependent crimes.
Year
DOI
Venue
2017
10.1109/DASC-PICom-DataCom-CyberSciTec.2017.50
2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Keywords
Field
DocType
Hackers,Cyber-Dependent Crime
Globe,Internet privacy,Information technology,Psychology,Situational ethics
Conference
ISBN
Citations 
PageRank 
978-1-5386-1957-5
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
David Maimon101.01
Olga Babko-Malaya26114.64
Rebecca Cathey3265.08
Steve Hinton400.34