Page 126 - KDU INTERNATIONAL JOURNAL OF CRIMINAL JUSTICE

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

background, access privileges, communication patterns, anomalies in behavior,
and external factors that might influence their motivations.

3. Training and Validation: Collect real-world behavioral data from
organizations that have experienced insider threats or espionage incidents. Use

this data to train and validate the Bayesian models, ensuring their accuracy and
effectiveness in detecting suspicious behavior and predicting potential threats.

4. Integration of Data Sources: Integrate various data sources, such as network
logs, employee activity logs, physical access records, and external threat

intelligence feeds. This holistic approach will provide a comprehensive view of
an individual's behavior and facilitate the identification of anomalous activities.

5. Continuous Monitoring: Implement real-time monitoring systems that
analyze behavioral data continuously. This enables the timely detection of

behavioral anomalies and potential insider threats or espionage activities.
Develop algorithms that can adapt and learn from new data to improve the
accuracy of the system over time.

6. Risk Scoring and Prioritization: Assign risk scores to individuals based on
their behavior and indicators identified by the Bayesian models. Develop a

prioritization mechanism to focus resources on the most suspicious or high-risk
individuals, ensuring efficient allocation of security resources.

7. Human Factors and Contextual Information: Incorporate additional

contextual information, such as work-related stress, personal life events, and
changes in job responsibilities. This helps to improve the accuracy of the models
by considering the human factors that may influence behavior.

8. Collaboration and Knowledge Sharing: Foster collaboration among
organizations and researchers working on insider threat and espionage

detection. Establish information sharing platforms to exchange best practices,

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