A cooperative model for IS security risk management in distributed environment.

Area of Science:

• Computer Science
• Information Security
• Risk Management

Background:

• Increasing inter-organizational cooperation necessitates flexible security information exchange.
• Effective information systems (IS) security management in distributed environments is critical.
• Current approaches may lack robust mechanisms for cooperative security risk assessment.

Purpose of the Study:

• To develop a cooperative model for IS security risk management in distributed settings.
• To enhance the flexible exchange of security information among allied organizations.
• To enable dynamic security risk prediction and optimal action selection.

Main Methods:

• Utilized Bayesian networks (BNs) to support security information exchange.
• Employed BNs to represent an organization's security environment.
• Developed a model for dynamic security risk level prediction.

Main Results:

• The proposed cooperative model effectively manages distributed IS security risks.
• Bayesian networks enable dynamic prediction of security risk levels.
• Security managers can select optimal actions based on predicted risks.

Conclusions:

• The cooperative model enhances IS security management in distributed environments.
• Bayesian networks are a viable tool for inter-organizational security information sharing.
• The model provides a practical approach to safeguarding information resources.