Title
Social engineering attack detection model: SEADM
Abstract
Social engineering is a real threat to industries in this day and age even though the severity of it is extremely downplayed. The difficulty with social engineering attacks is mostly the ability to identify them. Social engineers target call centre employees, as they are normally underpaid, under skilled workers whom have limited knowledge about the information technology infrastructure. These workers are thus easy targets for the social engineer. This paper proposes a model which can be used by these workers to detect social engineering attacks in a call centre environment. The model is a quick and effective way to determine if the requester is trying to manipulate an individual into disclosing information to which the requester does not have authorization for.
Year
DOI
Venue
2010
10.1109/ISSA.2010.5588500
Information Security for South Africa
Keywords
Field
DocType
authorisation,call centres,personnel,authorization,call centre employee,information technology infrastructure,social engineering attack detection model,Social engineering,emotional state,information sensitivity,social psychology
Internet privacy,Computer science,Computer security,Information technology,Authorization,Social engineering (security),Bidirectional communication,Call centre,Cognition,Information sensitivity,Utility theory
Conference
ISBN
Citations 
PageRank 
978-1-4244-5493-8
17
1.47
References 
Authors
2
3
Name
Order
Citations
PageRank
Monique Bezuidenhout1171.47
Francois Mouton2478.00
Hein S. Venter3588.01