Affiliations: Center for Decision Technologies, Howe School of Technology Management, Stevens Institute of Technology, Hoboken, NJ 07030-5991, USA
Note: [] Address for correspondence: Jeffrey V. Nickerson, Center for Decision Technologies, Howe School of Technology Management, Stevens Institute of Technology, Castle Point on Hudson, Hoboken, NJ 07030-5991, USA. Tel.: +1 201 216 8124; Fax: +1 201 216 5385; E-mail: [email protected].
Abstract: Sensor networks are not anticipatory, but ideally they should be. In order to detect intruders, the environment of the possible attack scene can be monitored, and the position of sensors modified in order to increase the probability of detection. When faced with a resourceful intruder, the problem of sensing context becomes more difficult, and must expand to include monitoring for information about the intruders' objectives and resources. We call the continuous contest between intruders and sensor network designers an adversarial design game, and discuss ways the sensor network designers may proceed, using human design processes and automated design techniques.
Keywords: Sensor networks, intrusion detection, design science, anticipation, evolutionary algorithms, terrorism, war games
