Statistical Analysis and Economic Models for Enhancing Cyber-security in SAINT

SAINT analyses and identifies incentives to improve levels of collaboration between cooperative and regulatory approaches to information sharing. Analysis of the ecosystems of cyber-criminal activity, associated markets and revenues drive the development of a framework of business models appropriate for the fighting of cyber-crime. The role of regulatory approaches as a cost benefit in cyber-crime reduction is explored within a concept of greater collaboration to gain optimal attrition of cyber-criminal activities. Experimental economics aid SAINT in designing new methodologies for the development of an ongoing and searchable public database of cyber-security indicators and open source intelligence. Comparative analysis of cyber-crime victims and stakeholders within a framework of qualitative social science methodologies deliver valuable evidences and advance knowledge on privacy issues and deep web practices. Equally, comparative analysis of the failures of current cyber-security solutions underpins a model for greater effectiveness and improved cost-benefits. SAINT advances the metrics of cyber-crime through the construct of a framework of a new empirical science that challenges traditional approaches and fuses evidence-based practices with more established disciplines. Innovative models, algorithms and automated framework for metrics benefit decision-makers, regulators, law enforcement, at national and organisational levels providing improved cost-benefit analysis and estimation of tangible and intangible costs for optimal risk and investment incentives.