An Epidemiology-Based Model for Disclosing Dynamics of Malware Propagation in Heterogeneous and Mobile WSNs
Heterogeneous and mobile wireless sensor networks (HMWSNs) are generally practical in constructing smart Internet of Things. However, malware can easily propagate itself over HMWSNs and make harm such as data interception and unauthorized activities. To defend such malware, developing a model to dis...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9022991/ |