Percolation Theory-Analysis of Malware Epidemics in Large-Scale Wireless Networks

Percolation Theory-Analysis of Malware Epidemics in Large-Scale Wireless Networks

The foreseen massive deployment of the internet of things (IoT) is expected to suffer from high security risks. This mainly results from the difficulty to monitor and cure the IoT devices in such large-scale deployment. In this thesis, we propose a spatial random deployment of special nodes (firewal...

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Bibliographic Details
Main Author: Zhaikhan, Ainur
Other Authors: Alouini, Mohamed-Slim
Language:en
Published: 2020
Subjects:
network epidemics
percolation theory
random graphs
wireless
communication network
Online Access:Zhaikhan, A. (2020). Percolation Theory-Analysis of Malware Epidemics in Large-Scale Wireless Networks. KAUST Research Repository. https://doi.org/10.25781/KAUST-V5ZC3
http://hdl.handle.net/10754/662603

Internet

Zhaikhan, A. (2020). Percolation Theory-Analysis of Malware Epidemics in Large-Scale Wireless Networks. KAUST Research Repository. https://doi.org/10.25781/KAUST-V5ZC3
http://hdl.handle.net/10754/662603

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