A Fuzzy Risk Assessment Method for Airborne Network Security Based on Big Data Communication
With the development of big data and communication technology,airborne network security has become the focus of aviation industry.Airborne network faces complex security threats,such as illegal data access and system intrusion,so it needs accurate and effective risk assessment methods.Traditional risk assessment methods have limitations in dealing with fuzzy and uncertain information,while fuzzy risk assessment method based on big data communication can provide a more flexible and adaptable solution.This paper proposes a fuzzy risk assessment method for airborne network security based on big data communication,which covers risk analysis,the construction of fuzzy assessment model and the implementation of security simulation risk assessment,aiming at realizing dynamic and real-time assessment of potential security threats of airborne network by constructing detailed rule base and simulation environment.
big data communicationonboard network securityfuzzy risk assessment