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Security and Game Theory - Algorithms, Deployed Systems, Lessons Learned (Hardcover) Loot Price: R2,511
Discovery Miles 25 110
Security and Game Theory - Algorithms, Deployed Systems, Lessons Learned (Hardcover): Milind Tambe

Security and Game Theory - Algorithms, Deployed Systems, Lessons Learned (Hardcover)

Milind Tambe

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Loot Price R2,511 Discovery Miles 25 110 | Repayment Terms: R235 pm x 12*

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Global threats of terrorism, drug-smuggling, and other crimes have led to a significant increase in research on game theory for security. Game theory provides a sound mathematical approach to deploy limited security resources to maximize their effectiveness. A typical approach is to randomize security schedules to avoid predictability, with the randomization using artificial intelligence techniques to take into account the importance of different targets and potential adversary reactions. This book distills the forefront of this research to provide the first and only study of long-term deployed applications of game theory for security for key organizations such as the Los Angeles International Airport police and the U.S. Federal Air Marshals Service. The author and his research group draw from their extensive experience working with security officials to intelligently allocate limited security resources to protect targets, outlining the applications of these algorithms in research and the real world. The book also includes professional perspectives from security experts Erroll G. Southers; Lieutenant Commander Joe DiRenzo III, U.S. Coast Guard; Lieutenant Commander Ben Maule, U.S. Coast Guard; Erik Jensen, U.S. Coast Guard; and Lieutenant Fred S. Bertsch IV, U.S. Coast Guard.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: December 2011
First published: December 2011
Authors: Milind Tambe
Dimensions: 231 x 160 x 28mm (L x W x T)
Format: Hardcover
Pages: 336
ISBN-13: 978-1-107-09642-4
Categories: Books > Computing & IT > Computer communications & networking > Network security
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LSN: 1-107-09642-1
Barcode: 9781107096424

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