Description
This book aims to present in much detail how complex adaptive processes in cybersecurity can be analysed based on multiple levels of adaptation and control in a multilevel adaptive dynamical system architecture. Furthermore, it is shown how such complex adaptive systems can be modelled by self-modelling temporal-causal network models. Here, the temporal dimension is an important factor for different timescales from responding to attacks in milliseconds or seconds to developing more secure infrastructure and well-educated employees in an organisation over months or years. From the applicational perspective, different well-recognised cybersecurity themes are addressed here such as phishing, using complex authentication procedures, cybersecurity in health care, threats far away (third-party contracting), and threats close by (insider threats). Moreover, for the organisational level joint decision-making for cybersecurity is addressed involving, for example, groupthink and organisational alignment.
A Guide to the Computational Analysis of Human and Organisational Decision Processes in Cyber Risk Management.- Rules and Realities in Human and Organisational Decision Processes for Cyber Risk Management.- Integration of Nonlinear Computational Methods and Risk Assessment Methods Applied for Cybersecurity.- Computational Analysis of Employees Learning from Phishing Simulations.- Adaptive Network Modeling for Computational Risk Management of Phishing Attacks in Cybersecurity.- Human-Centric Cybersecurity: Adaptive Modeling of Spear-Phishing Responses.
