Part Time PhD researcher and Full Time Solution Architect with a 30 year career in technology roles across many sectors.  Doing research that aims to understand if it is possible to  use personality and behavioural biometric data to build a predictive model and agent based workplace simulation to detect and measure the impact of “insider threats”. From many years working on building enterprise scale data pipelines to detect retrospectively when counter productive workplace behaviours have occurred, this research is my opportunity to shift that detection capability to add to the employment pre-screening toolbox to help organisations and individuals to make more informed selection choices.  

My research investigates the intersection of keystroke dynamics, personality assessment, and deception detection within organisational security contexts. The study addresses critical gaps in understanding how individual psychological profiles and motivational frameworks influence detectable patterns in typing behaviour during deceptive digital communication.

The research employs a sophisticated 2×5 factorial experimental design, systematically manipulating deception requirements and motivational framing according to the MICE (Money, Ideology, Coercion, Ego) model. Through an innovative mixed-methods approach combining human participants and AI-generated synthetic agents, the investigation examines how cognitive load during deceptive communication manifests in measurable keystroke patterns, including temporal dynamics, error rates, and revision behaviours.

Primary objectives encompass:

1. identifying statistically significant patterns in keystroke dynamics correlating with deceptive communication strategies involving both concealment and elaboration;
2. developing comprehensive Bayesian Network Models capable of predicting individual propensities for deceptive behaviour based on personality profiles (OCEAN/Big Five and Dark Triad indicators) and behavioural biometrics;
3. creating sophisticated MCMC simulation frameworks for validating predictive models through agent-based workplace simulations; and
4. producing methodological innovations that bridge theoretical research with practical cybersecurity applications.