| | |  | | Home » Statistical Methods in Counterterrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication | | | | | | | Description: | | With the realization that many clues and hints preceded the September 11 terrorist attacks, statisticians became an important part of the global war on terror. This book surveys emerging research at the intersection of national security and statistical sciences. In it, a diverse group of talented researchers address such topics as Syndromic Surveillance; Modeling and Simulation; Biometric Authentication; and Game Theory. The book includes general reviews of quantitative approaches to counterterrorism, for decision makers with policy backgrounds, as well as technical treatments of statistical issues that will appeal to quantitative researchers. | | | Product Details: | | | Paperback:
| 304 pages | | Publisher:
| Springer | | Publication Date:
| June 24, 2006 | | Language:
| English | | ISBN:
| 0387329048 | | Product Length:
| 0.93 inches | | Product Width:
| 0.61 inches | | Product Height:
| 0.06 inches | | Product Weight:
| 0.97 pounds | | Package Length:
| 9.13 inches | | Package Width:
| 6.06 inches | | Package Height:
| 0.71 inches | | Package Weight:
| 0.97 pounds | | Average Customer Rating:
|  based on 2 reviews |
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26 of 26 found the following review helpful:
introduction of statistics into the determination of strategy against terrorismMar 08, 2008
By Michael R. Chernick
"statman31147"
After the 9/11 terrorist attack using commercial airplanes to crash into the pentagon and the world trade center buildings, statisticians among other found their way into developing tools to deal with the such problems. This book is an edited volume of of statistical researchers effort at solving some specific problems addressing potential terrorist attacks and finding ways to prevent future occurrences. Of the topics included are 1. game theory and risk taking, 2. biometric authentication (a pattern recognition technique for matching signatures, 3. matching faces for identification of terriorists using fake identification, 4. and DNA among other things.
Many well known statisticians from RAND, the Naval Postgraduate School, the National Institute of Science and Technology, Los Alamos National Laboratory and some academic institutions present papers on a variety of topics including game theory, biometric authentification, aggregated algorithms, syndromic surveillance, pattern recognition, simulation studies and other counterterrorism approaches.
This book is the first of its kind and it really shows how statistics can play a major role as analytic tools for counterterrorism.
1 of 2 found the following review helpful:
very subjective testsOct 13, 2006
By W Boudville
The book has a compelling usage. How can we use statistics to find advance warning of terrorists and their intents? The book does have fascinating examples of data mining techniques. The problem is that with only one exception, they are highly speculative. Few of these can give a definitive indicator. Very subjective. The efficacy might be questioned.
The exception is where the book deals with biometrics. Here, there is within reason, an objective test of whether a person passes a biometric test or not. In other words, is a person indeed this person whose biometric data has been earlier recorded. This has use, in cases where we might validate that a person has been prescreened, and can thus now perhaps bypass some current tests. The problem in the context of terrorism, is when a terrorist has not been diagnosed as such. Then all the biometric tests can do is say that a person has a valid id, for example. Given this, terrorist groups can be expected to recruit new people and sleepers, in part to nullify any biometric tests.
The book is a commendable effort to tackle a dangerous and ongoing problem. But readers should be cautioned not to put too much store in its methods.
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