MODELLING MALWARE RESPONSE IN WIRELESS SENSOR NETWORKS USING STOCHASTIC CELLULAR AUTOMATA

Authors

  • Hassan Chizari Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia
  • Ahmad Uways Zulkurnain Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia

Keywords:

Wireless Sensor Networks (WSN), Malware Propagation, Cellular Automata, Remote Code Update, Attack Response

Abstract

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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https://www.cs.purdue.edu/homes/park/interest-ca.html

http://scipy.org/

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Published

2014-12-30

How to Cite

Chizari, H., & Zulkurnain, A. U. (2014). MODELLING MALWARE RESPONSE IN WIRELESS SENSOR NETWORKS USING STOCHASTIC CELLULAR AUTOMATA. Journal of Mobile, Embedded and Distributed Systems, 6(4), 159-166. Retrieved from http://jmeds.eu/index.php/jmeds/article/view/138

Issue

Vol. 6 No. 4 (2014): Internet of Things and Electronic Payments

Section

Articles

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