Epidemiological Diffusion and Discrete Branching Models for Malware Propagation in Computer Networks

2014 ◽  
pp. 139-179
Author(s):  
Nicholas J. Daras
Keyword(s):  
Computer Networks ◽  
Malware Propagation

Malware propagation in clustered computer networks

2021 ◽  
pp. 125958
Author(s):  
José Roberto C. Piqueira ◽  
Manuel A.M. Cabrera ◽  
Cristiane M. Batistela
Keyword(s):  
Computer Networks ◽  
Malware Propagation

To substantiate the principle of building local computer networks

2019 ◽  
pp. 194-201
Author(s):  
Dmitro Trushakov ◽  
◽  
Taras Glushenko ◽  
Nuzhny Vitaliy ◽  
◽  
...  
Keyword(s):  
Computer Networks ◽  
Local Computer

A Study of Malware Propagation Dynamics in Wireless Sensor Network using Spatially Correlated Security Model

2020 ◽  
Vol 13 ◽  
Author(s):  
Satya Ranjan Biswal ◽  
Santosh Kumar Swain
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Network ◽  
Spatial Correlation ◽  
Malicious Code ◽  
Wireless Sensor ◽  
Epidemic Theory ◽  
Malware Propagation ◽  
Proposed Model ◽  
Propagation Dynamics

: Security is one of the important concern in both types of the network. The network may be wired or wireless. In case of wireless network security provisioning is more difficult in comparison to wired network. Wireless Sensor Network (WSN) is also a type of wireless network. And due to resource constraints WSN is vulnerable against malware attacks. Initially, the malware (virus, worm, malicious code, etc.) targets a single node of WSN for attack. When a node of WSN gets infected then automatically start to spread in the network. If nodes are strongly correlated the malware spreads quickly in the network. On the other hand, if nodes are weakly correlated the speed of malware spread is slow. A mathematical model is proposed for the study of malware propagation dynamics in WSN with combination of spatial correlation and epidemic theory. This model is based on epidemic theory with spatial correlation. The proposed model is Susceptible-Exposed-Infectious-Recover-Dead (SEIRD) with spatial correlation. We deduced the expression of basic reproduction number. It helps in the study of malware propagation dynamics in WSN. The stability analysis of the network has been investigated through proposed model. This model also helps in reduction of redundant information and saving of sensor nodes’ energy in WSN. The theoretical investigation verified by simulation results. A spatial correlation based epidemic model has been formulated for the study of dynamic behaviour of malware attacks in WSN.

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