By Topic

Intruder Detection: An Optimal Decision Analysis Strategy

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Tal Ben-Zvi ; Center for Decision Technologies , Stevens Institute of Technology, Hoboken, USA ; Jeffrey V. Nickerson

This study considers a situation in which a sensor network aims to protect a stationary target (e.g., a large battleship at anchor) and detects signals from approaching objects (e.g., small boats traveling in a harbor). Once the network detects a sufficient number of signals from the object (for example, through video surveillance), it may classify the object's intention as hostile and act accordingly by informing responders. The objective is to design an optimal strategy for recognition that guarantees accurate and timely intruder detection. We show that the optimal policy is of a control limit threshold.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)  (Volume:42 ,  Issue: 2 )