English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

An important role carried out by cyber-security experts is the assessment ofproposed computer systems, during their design stage. This task is fraught withdifficulties and uncertainty, making the knowledge provided by human expertsessential for successful assessment. Today, the increasing number ofprogressively complex systems has led to an urgent need to produce tools thatsupport the expert-led process of system-security assessment. In this research,we use weighted averages (WAs) and ordered weighted averages (OWAs) withevolutionary algorithms (EAs) to create aggregation operators that model partsof the assessment process. We show how individual overall ratings for securitycomponents can be produced from ratings of their characteristics, and how theseindividual overall ratings can be aggregated to produce overall rankings ofpotential attacks on a system. As well as the identification of salient attacksand weak points in a prospective system, the proposed method also highlightswhich factors and security components contribute most to a component'sdifficulty and attack ranking respectively. A real world scenario is used inwhich experts were asked to rank a set of technical attacks, and to answer aseries of questions about the security components that are the subject of theattacks. The work shows how finding good aggregation operators, and identifyingimportant components and factors of a cyber-security problem can be automated.The resulting operators have the potential for use as decision aids for systemsdesigners and cyber-security experts, increasing the amount of assessment thatcan be achieved with the limited resources available.

Modelling Cyber-Security Experts' Decision Making Processes using Aggregation Operators