Attack Detection Model
Wisconsin card sorting test
Eriksens flanker task
Dot judgement task
Social engineering environments
with ethical concerns
and ethical perspectives
Social Engineering Research
Social engineering research
incorporates public communication
and penetration testing
Social Engineering Attack Detection Model (SEADM) is a quick and effective way to determine if an requester is trying to manipulate an individual into disclosing information to which the requester does not have authorization for. This model can be applied anywhere where there are two people involved where one tries to elicit unauthorised information from the other.
The Social Engineering Attack Framework provides one with a framework on which to base all planned social engineering attacks. It caters for all the differnt type of social engineering attacks, including physical, email and one-to-one communication.
These questionnaires aim to assist in social engineering research by gathering information on how susceptible people are to social engineering attacks.
Social Engineering Attack Detection Model: SEADM
Social engineering is a real threat to industries in this day and age even though the severity of it is extremely downplayed.Read More
Development of Cognitive Functioning Psychological Measures for the SEADM
Social engineering is a real threat to industries in this day and age, even though its severity is extremely downplayed. The difficulty with social engineering attacks is mostly the ability to identify them.Read More
Social Engineering from a Normative Ethics Perspective
Social engineering is deeply entrenched in both computer science and social psychology. Knowledge on both of these disciplines is required to perform social engineering based research. There are several ethical concerns and requirements that need to be taRead More