Economic-based vs. nature-inspired intruder detection in sensor networks

Protecting computer networks from accidental and malicious harm is a critical issue. Researchers have sought a variety of solutions ranging from the purely statistical approach to approaches inspired from a variety of fields such as economics and biology. In this paper, we focus on the issue of intruder detection and propose two complementary approaches, one economics-based, the other biology-inspired. We discuss the effectiveness of these two approaches put together as compared to each one alone based on Matlab simulations.

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