Dynamics of Complex Networks: Malware Propagation Modeling and Analysis in Industrial Internet of Things

Li Li,Rui Zhang,Hui Xia,Xiangguo Cheng,Jufu Cui

doi:10.1109/access.2020.2984668

Abstract

While cyber physics system (CPS) provides forward-looking and personalized services for users, it also creates conditions for the spread of malware. Therefore, it’s critical for us to analyse affecting factors and study the propagation characteristics of malware. On the basis of the difference of intelligent device’s dissemination capacity and discriminant ability, a dynamic malware propagation model (Disseminate&Discriminate-Spread-Exposed-Ignorant-Recover, DDSEIR ) is proposed. First, intelligent devices are classified into different groups according to the level of dissemination capability by hierarchical mechanism, which takes the networks topology into account. And subsequently, intelligent device’s discriminant ability can be evaluated by sender’s identity and information attributes. Then, the mean field equation is constructed to analyze the dynamic characteristics of DDSEIR and the factors that influence malware propagation, which is used to further derive the malware propagation scale and threshold value of diffusion. Finally, this paper uses Live Journal dataset to verify the effectiveness of DDSEIR . The experiments illustrate that intelligent device’s dissemination capacity and discriminant ability have significant influences on malware propagation.

Highlights

Cyber physical system [1] is a multi-dimensional and complex system that integrates computing resources, network resources and physical resources [2], [3]
Experiments suggest that we should reduce the percentage of intelligent devices with high dissemination capability and increase the baseline for controlling the malware
Malware propagation is similar to rumor spread, so we take the SEIR [25] as the basis of our model and improve it to study the characteristics of malicious propagation in the IIoT

Summary

INTRODUCTION

Cyber physical system [1] is a multi-dimensional and complex system that integrates computing resources, network resources and physical resources [2], [3]. L. Li et al.: Dynamics of Complex Networks: Malware Propagation Modeling and Analysis in IIoT new era while bringing surprises to consumers. Li et al.: Dynamics of Complex Networks: Malware Propagation Modeling and Analysis in IIoT new era while bringing surprises to consumers This makes a huge threat to people’s privacy and information security. On the basis of intelligent device’s dissemination capacity and discriminant ability, a dynamic malware propagation model, named DDSEIR model (Disseminate &Discriminate-Spread-Exposed-IgnorantRecover) are proposed in this paper. It combines multi-factors (i.e., devices’ behaviour attributes and information attributes) into DDSEIR model. Experiments suggest that we should reduce the percentage of intelligent devices with high dissemination capability and increase the baseline for controlling the malware

RELATED WORK

CALCULATION OF INTELLIGENT DEVICES’S DISCRIMINANT ABILITY

THEORY ANALYSIS

SIMULATION RESULTS

CONVERSION OF DIFFERENT NODES IN THE DDSEIR

CONCLUSION