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Optimal Malware Detection in IoT Networks by dan_intel6735 is a document available to read on EtoBox.

What is Optimal Malware Detection in IoT Networks about?

1) The document proposes using a multistage signaling game to develop optimal malware detection strategies for suppressing malware diffusion in fog-cloud-based IoT networks. 2) The game models interactions between smart objects and fog nodes due to malware uncertainty, and aims to maximize detection probability while minimizing privacy leakage of smart objects. 3) Factors that influence the optimal probability of malware diffusion and the performance of fog nodes in determining infected smart objects are

Author

dan_intel6735

Language

EN