A Monte Carlo method for the spread of mobile malware

TL;DR

This paper introduces a Monte Carlo simulation model to analyze the spread of mobile malware via proximity-based communication methods, comparing results with mean field theory to validate the approach.

Contribution

It presents a novel Monte Carlo modeling technique for mobile malware spread based on proximity interactions, enhancing understanding of infection dynamics.

Findings

Monte Carlo simulations align with mean field theory results.

Proximity-based spread significantly impacts malware transmission dynamics.

Model provides a new tool for predicting mobile malware outbreaks.

Abstract

A new model for the spread of mobile malware based on proximity (i.e. Bluetooth, ad-hoc WiFi or NFC) is introduced. The spread of malware is analyzed using a Monte Carlo method and the results of the simulation are compared with those from mean field theory.