Modeling, Analysis, and Mitigation of Dynamic Botnet Formation in Wireless IoT Networks

摘要: The Internet of Things (IoT) relies heavily on wireless communication devices that are able to discover and interact with other in their vicinity. flexibility coupled software vulnerabilities devices, due low cost short time-to-market, exposes them a high risk malware infiltration. Malware may infect large number network using device-to-device (D2D) resulting the formation botnet, i.e., infected controlled by common malware. A botmaster exploit it launch network-wide attack sabotaging infrastructure facilities, or for malicious purposes such as collecting ransom. In this paper, we propose an analytical model study D2D propagation IoT networks. Leveraging tools from dynamic population processes point process theory, capture infiltration coordination over topology. analysis mean-field equilibrium is used construct solve optimization problem defender prevent botnet patching while causing minimum overhead operation. developed serves basis assisting planning, design, defense networks defender’s standpoint.