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With the emerging Internet of Things (IoT) technologies, malware spreading over increasingly connected networks becomes a new security concern. To capture the heterogeneous nature of the IoT networks, we propose a continuous-time Susceptible-Infected-Recovered (SIR) epidemic model with two types of malware for heterogeneous populations over a large network of devices. The malware control mechanism...
Viruses and malwares spread around mobile networks with the rapid growth of smart cell phone users. In a mobile network, viruses and malwares can cause privacy data leakage and remote listening. Additionally, they can jam wireless servers by sending thousands of spam messages or track user location through GPS. Because of the potential damage of mobile viruses, it is important for us to gain a profound...
Viral propagation modelling acts as sandbox for testing intensity of malware, understand patterns adopted for malware propagation and consequently help device strategies for malware detection. Success of P2P networks has encouraged mobile vendors to offer P2P services on mobile networks. Handheld mobile devices though constrained in memory, power and processing resources are capable of using communication...
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