期刊名称：Journal of Mobile, Embedded and Distributed Systems
印刷版ISSN：2067-4074
出版年度：2014
卷号：6
期号：4
页码：159-166
语种：English
出版社：Journal of Mobile, Embedded and Distributed Systems
摘要：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.
