Page 116 - KDU INTERNATIONAL JOURNAL OF CRIMINAL JUSTICE

KDU International Journal of Criminal Justice (KDUIJCJ)
Volume I | Issue II| July 2024

- Unusual personal circumstances: Financial problems, personal crises, or
significant life events that may make individuals susceptible to exploitation.

It is important to note that these indicators should not be considered in isolation
but rather as part of a comprehensive and contextual analysis. The relevance

and weight assigned to each indicator may vary based on the organization's
industry, specific security concerns, and the individual's role and
responsibilities. The Bayesian framework allows for the continuous assessment

and updating of probabilities associated with these indicators, enabling a
dynamic and evolving understanding of potential risks and threats.

Furthermore, the effectiveness of indicators may be enhanced by leveraging

advanced analytics techniques, machine learning algorithms, and expert
knowledge to detect patterns, anomalies, and correlations within the
behavioural data. Collaboration with domain experts, security analysts, and

stakeholders is essential to ensure that the identified indicators are relevant,
actionable, and aligned with the organization's security objectives. By

incorporating indicators and leveraging the power of Bayesian reasoning,
organizations can strengthen their ability to proactively identify potential
insider threats and espionage activities, enabling more effective risk mitigation

and security measures.

Network modelling

Bayesian network modeling is a powerful approach for insider threat and

espionage detection, providing a probabilistic framework to analyze complex
relationships and dependencies among various factors. By capturing

uncertainties and updating probabilities based on new evidence, Bayesian
networks offer a valuable tool for understanding and predicting insider threats
and espionage activities. Here is an explanation of Bayesian network modeling

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