The work aims to build a formal ontology-based model for cyber security risk assessment that considers digital human characteristics. A multi-layered architecture solution was build as a proof of concept to maintain a set of artificial intelligence algorithms and specially developed questionnaires for data gathering and processing. The prototype enabled us to organise a small scale experiment to validate trait analysis methods. Also, it opened further research directions.
The Impact of Workload on Phishing Susceptibility: An Experiment
Phishing is when social engineering is used to deceive a person into sharing sensitive information or downloading...