How Does the Internet Impact the Public's Perception of Information Security Risk?

Clarifying the relationship between internet use and public information security risk perception helps us gain a better understanding of the factors influencing public risk perception.However,the relationship is still under-explored.This paper empirically examines the relationship between internet use and information security risk perception based on data from the 2021 Chinese Social Survey.It was found that whether to use the internet and the frequency of use are both significantly positively correlated with the perception of information security risk.On this basis,the mechanism by which internet use affects public information security risk perceptions is verified from the perspective of interpersonal trust.The mechanism analysis found that interpersonal trust exerts an indirect effect between internet use and perceived information security risk.The findings of this study provide new insights for our further understanding of how internet use affects residents'perceptions of securityrisk.

Fuzzy Risk Assessment Method for Airborne Network Security Based on AHP-TOPSIS

With the exponential increase in information security risks,ensuring the safety of aircraft heavily relies on the accurate performance of risk assessment.However,experts possess a limited understanding of fundamental security elements,such as assets,threats,and vulnerabilities,due to the confidentiality of airborne networks,resulting in cognitive uncertainty.Therefore,the Pythagorean fuzzy Analytic Hierarchy Process(AHP)Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)is proposed to address the expert cognitive uncertainty during information security risk assessment for airborne networks.First,Pythagorean fuzzy AHP is employed to construct an index system and quantify the pairwise comparison matrix for determining the index weights,which is used to solve the expert cognitive uncertainty in the process of evaluating the index system weight of airborne networks.Second,Pythagorean fuzzy the TOPSIS to an Ideal Solution is utilized to assess the risk prioritization of airborne networks using the Pythagorean fuzzy weighted distance measure,which is used to address the cognitive uncertainty in the evaluation process of various indicators in airborne network threat scenarios.Finally,a comparative analysis was conducted.The proposed method demonstrated the highest Kendall coordination coefficient of 0.952.This finding indicates superior consistency and confirms the efficacy of the method in addressing expert cognition during information security risk assessment for airborne networks.