With the rapid development of Internet of things technology, the application of intelligent devices in the medical industry has become\nubiquitous. Connected devices have revolutionized clinicians and patient care but also made modern hospitals vulnerable to cyber\nattacks. Among the security risks, botnets are of particular concern, which can be used to control thousands of devices for remote data\ntheft and equipment destruction. In this paper, we propose a non-Markovian spread dynamics model to understand the effects of\nbotnet propagation, which can characterize the hybrid contagion situation in reality. Based on the Susceptible-Adopted-Recovered\nmodel, we introduce nonredundant memory spread mechanism for global propagation, as a tuner to adjust spreading rate difference.\nFor describing the proposed model, we extend a heterogeneous edge-based compartmental theory. Through extensive numerical\nsimulations, we reveal that the growth pattern of the final adoption size versus the information transmission probability is discontinuous\nand how the final adoption size is affected by hybrid ratio alpha, global scope control factor ...
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