MODELLING MALWARE RESPONSE IN WIRELESS SENSOR NETWORKS USING STOCHASTIC CELLULAR AUTOMATA
Keywords:Wireless Sensor Networks (WSN), Malware Propagation, Cellular Automata, Remote Code Update, Attack Response
A model based on cellular automata to analyze malware propagation is enhanced to simulate malware response using self-propagating software updates. The model maintains the characteristics of wireless sensor networks while adding states and behavior. The simulation tests variable update sources and variable distances between infection and update source. The simulation results confirm that node density influences the propagation speed. In addition, using more updater nodes greatly increases the speed of recovery and significantly reduces death rate. Finally, attacks occurring further away from updater nodes take longer to detect and cause a greater impact.
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