Features of assessing and forecasting the critical infrastructure facilities level of security with components of the Internet of Things technology based on catastrophe theory methods
Observational analysis predicts security level in critical infrastructure objects using IoT technology, highlighting its effectiveness in threat assessments.
Key Points
The approach predicts the security level of critical infrastructure objects, revealing its adaptability to changes in external conditions.
It utilizes methods of catastrophe theory, specifically focusing on bifurcations to detail state transitions in security levels.
The algorithm is designed to monitor the intensity of computer attacks, aiding in the identification of potentially dangerous security states.
Experimental calculations demonstrate its application in forecasting security levels, which may enhance preventive measures against threats.