The use of fractal dimension (FD) analysis in detection of anomalies, sabotages, and malicious acts in a cyber-physical system using Higuchi’s algorithm
2022, vol.14 , no.2, pp. 111-121
In recent years, cyber-physical systems (CPSs) have received a lot of attention because of their wide range of applications. However, because CPSs rely heavily on communication networks, they are vulnerable to deliberate cyberattacks. As a result, there are a wide variety of attack detection methods that have been proposed to protect CPSs. This research examines the behavior of malicious acts and anomalies within the cyber physical system using Higuchi Fractal Dimension (HFD). The model was constructed and evaluated using the HFD algorithm. The model categorizes various types of anomalous events, such as sabotage, cyber-attacks, and hardware failures. Furthermore, our proposed model notifies the operator by calculating the probability of an anomaly occurring, which aids in the mitigation process. A real-world dataset is used to train and test the model.
Cyber-attacks, malicious attacks, nonlinear mathematical method, Fractal Dimension, Receiver Operating Characteristics
Marwan Albahar, Mohammed Thanoon, Abdulaziz Albahr. The use of fractal dimension (FD) analysis in detection of anomalies, sabotages, and malicious acts in a cyber-physical system using Higuchi’s algorithm. International Journal on Information Technologies and Security, vol.14 , no.2, 2022, pp. 111-121.