A Method for Fluid Modeling of the Propagation Behavior of Malware in Scale-Free Networks

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Koochaki S.; ABDOLLAHI AZGOMI M.

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Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2017 | Volume:4 | Issue:4 (16) Page(s): 1-10

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Title

A Method for Fluid Modeling of the Propagation Behavior of Malware in Scale-Free Networks

Author(s)

Koochaki S. | ABDOLLAHI AZGOMI M. | Issue Writer Certificate

Keywords

Scale-Free NetworksQ1

Propagation ModelingQ1

Malware PropagationQ1

Fluid ModelingQ1

Agent-Based SimulationQ1

NetLogoQ1

Abstract

Scale-free network (SFN) is a conceptual model for online social networks and peer-to-peer networks, which exhibit a power-law degree distribution. Due to these characteristics, these networks are more vulnerable to the spread of malware (such as virus and worm). Modeling and simulation methods are used to evaluate the propagation behavior of malware in Scale-Free Networks and analyze the defense strategies against Malware Propagation. To do so, a high number of events should be processed and details of network nodes should be considered. This makes the existing discrete-event simulation methods inappropriate for running on large and complex networks. Hence, for modeling the propagation behavior of malware, fluid models, which need not know the details of network, seems to be more appropriate. In this paper, for fluid simulation of Malware Propagation, a scale-free network is conceptually represented as a backbone network including supernodes, any one of which includes several nodes of the network. Each supernode in the case of infection can propagate pollution as a fluid flow to its neighboring nodes. Therefore, the main process of Malware Propagation can be modeled without considering the details of every node. To evaluate the proposed method, an Agent-Based Simulation method has been used. The evaluation results show that large Scale-Free Networks can be modeled and the propagation of malware can be studied using the proposed approach. In addition, the effect of random and targeted immunization of nodes on the proposed models is evaluated as a case study.

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APA: Copy

Koochaki, S., & ABDOLLAHI AZGOMI, M.. (2017). A Method for Fluid Modeling of the Propagation Behavior of Malware in Scale-Free Networks. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 4(4 (16) ), 1-10. SID. https://sid.ir/paper/243166/en

Vancouver: Copy

Koochaki S., ABDOLLAHI AZGOMI M.. A Method for Fluid Modeling of the Propagation Behavior of Malware in Scale-Free Networks. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2017;4(4 (16) ):1-10. Available from: https://sid.ir/paper/243166/en

IEEE: Copy

S. Koochaki, and M. ABDOLLAHI AZGOMI, “A Method for Fluid Modeling of the Propagation Behavior of Malware in Scale-Free Networks,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 4, no. 4 (16) , pp. 1–10, 2017, [Online]. Available: https://sid.ir/paper/243166/en

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