Abstract

Hackers are increasingly exploiting the social movement on the Internet, which is responsible for domestication of the web and its associated technologies, by using novel methods of online social engineering (OSE) . While most research to date in this field has focused on one type of OSE vector-phishing, there is a need to understand user vulnerabilities to other types of OSE attack vectors. This research in progress proposal first extends prior published classifications and presents a new typology of OSE attack vectors that manifest during the various information seeking contexts that users engage while online. This provides a conceptual starting point to build our empirical model that we propose will be useful in testing variance in human vulnerability to the different OSE attack vectors. The results of this research should be of interest to academic researchers, practitioners, consumer protection agencies and government regulatory authorities .

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