Malware propagation model for cluster-based wireless sensor networks using epidemiological theory.

ABSTRACT: Due to limited resources, wireless sensor network (WSN) nodes generally possess weak defense capabilities and are often the target of malware attacks. Attackers can capture or infect specific sensor nodes and propagate malware to other sensor nodes in WSNs through node communication. This can eventually infect an entire network system and even cause paralysis. Based on epidemiological theory, the present study proposes a malware propagation model suitable for cluster-based WSNs to analyze the propagation dynamic of malware. The model focuses on the data-transmission characteristics between different nodes in a cluster-based network and considers the actual application parameters of WSNs, such as node communication radius, node distributed density, and node death rate. In addition, an attac

SUBMITTER: Zhu X 

PROVIDER: S-EPMC8459781 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature