@inproceedings{509e5b3e05914fa38c08e5670ae8c817,
title = "Sensor deployment optimization for network intrusion detection",
abstract = "This paper introduces a methodology for the costeffective detection of the activities of intruders within a bounded network geometry modelled with a graph. The developed methodology can be used to optimize the configuration of heterogenous sensory agents, including stationary and mobile sensors, for minimizing the expected intruder detection time and sensor deployment cost, while meeting the specified intruder detection probability requirement. Applicability of this methodology is illustrated with an example optimizing the deployment of sensor configurations to protect an illustrative complex network.",
author = "Yoo, \{Tae Sic\} and Garcia, \{Humberto E.\}",
year = "2006",
language = "English",
series = "44th Annual Allerton Conference on Communication, Control, and Computing 2006",
publisher = "University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering",
pages = "996--1004",
booktitle = "44th Annual Allerton Conference on Communication, Control, and Computing 2006",
note = "44th Annual Allerton Conference on Communication, Control, and Computing 2006 ; Conference date: 27-09-2006 Through 29-09-2006",
}