@article {12495,
	title = {Adaptive Threshold Estimation via Extreme Value Theory},
	journal = {Signal Processing, IEEE Transactions on},
	volume = {58},
	year = {2010},
	month = {2010/02//},
	pages = {490 - 500},
	abstract = {Determining a detection threshold to automatically maintain a low false alarm rate is a challenging problem. In a number of different applications, the underlying parametric assumptions of most automatic target detection algorithms are invalid. Therefore, thresholds derived using these incorrect distribution assumptions do not produce desirable results when applied to real sensor data. Monte Carlo methods for threshold determination work well but tend to perform poorly when targets are present. In order to mitigate these effects, we propose an algorithm using extreme value theory through the use of the generalized Pareto distribution (GPD) and a Kolmogorov-Smirnov statistical test. Unlike previous work based on GPD estimates, this algorithm incorporates a way to adaptively maintain low false alarm rates in the presence of targets. Both synthetic and real-world detection results demonstrate the usefulness of this algorithm.},
	keywords = {detection;, detection;Pareto, distribution;adaptive, distribution;signal, estimation;extreme, estimation;signal, Kolmogorov-Smirnov, Pareto, statistical, test;adaptive, theory;generalized, threshold, value},
	isbn = {1053-587X},
	doi = {10.1109/TSP.2009.2031285},
	author = {Broadwater, J.B. and Chellapa, Rama}
}
@conference {12617,
	title = {An Adaptive Threshold Method for Hyperspectral Target Detection},
	booktitle = {Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on},
	volume = {5},
	year = {2006},
	month = {2006/05//},
	pages = {V - V},
	abstract = {In this paper, we present a new approach to automatically determine a detector threshold. This research problem is especially important in hyperspectral target detection as targets are typically very similar to the background. While a number of methods exist to determine the threshold, these methods require either large amounts of data or make simplifying assumptions about the background distribution. We use a method called inverse blind importance sampling which requires few samples and makes no a-priori assumptions about the background statistics. Results show the promise of this algorithm to determine thresholds for fixed false alarm densities in hyperspectral detectors},
	keywords = {adaptive, blind, detection;, detection;inverse, importance, method;background, processing;importance, sampling;geophysical, sampling;object, signal, statistics;hyperspectral, target, threshold},
	doi = {10.1109/ICASSP.2006.1661497},
	author = {Broadwater, J. and Chellapa, Rama}
}
@conference {15096,
	title = {Toward secure key distribution in truly ad-hoc networks},
	booktitle = {Applications and the Internet Workshops, 2003. Proceedings. 2003 Symposium on},
	year = {2003},
	month = {2003/01//},
	pages = {342 - 346},
	abstract = {Ad-hoc networks - and in particular wireless mobile ad-hoc networks $have unique characteristics and constraints that make traditional cryptographic mechanisms and assumptions inappropriate. In particular it may not be warranted to assume pre-existing shared secrets between members of the network or the presence of a common PKI. Thus, the issue of key distribution in ad-hoc networks represents an important problem. Unfortunately, this issue has been largely ignored; as an example, most protocols for secure ad-hoc routing assume that key distribution has already taken place. Traditional key distribution schemes either do not apply in an ad-hoc scenario or are not efficient enough for small, resource-constrained devices. We propose to combine efficient techniques from identity-based (ID-based) and threshold cryptography to provide a mechanism that enables flexible and efficient key distribution while respecting the constraints of ad-hoc networks. We also discuss the available mechanisms and their suitability for the proposed task.},
	keywords = {ad, ad-hoc, cryptography;, distribution;, hoc, identity-based, key, mobile, network, networks;, routing;, secure, security;, Telecommunication, threshold, wireless},
	doi = {10.1109/SAINTW.2003.1210183},
	author = {Khalili,A. and Katz, Jonathan and Arbaugh, William A.}
}
