Tristan Caulfield, Michelle Catherine Baddeley and David Pym

Abstract

Usable Systems modelling can be used to help improve decisions around security policy. By modelling a complex system, the interactions between its structure, environment, technology, policies, and human agents can be understood and the effects of different policy choices on the system can be explored. Of key importance is capturing the behaviour of human agents within the system. In this paper we present a model of social learning from behavioural economics and then integrate it into a mathematical systems modelling framework. We demonstrate this with an example: employees deciding whether or not to challenge people without ID badges in the office. Date: 23 September 2016 Published: Social Stimulation Conference Paper September 2016 Publisher: Research Gate Publisher URL: https://www.researchgate.net/publication/308632330_Social_Learning_in_Systems_Security_Modelling