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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 55,56
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 63,65
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Añadir al carritoCondición: New. pp. 96.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 49,85
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Creative Media Partners, LLC, 2025
ISBN 10: 1025116747 ISBN 13: 9781025116747
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 18,42
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Biblioscholar 11/12/2012, 2012
ISBN 10: 1288286082 ISBN 13: 9781288286089
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 78,89
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Añadir al carritoPaperback or Softback. Condición: New. Machine Learning Techniques for Characterizing IEEE 802.11b Encrypted Data Streams. Book.
Publicado por Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025116747 ISBN 13: 9781025116747
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 22,92
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware.
Publicado por Creative Media Partners, LLC, 2025
ISBN 10: 1025116747 ISBN 13: 9781025116747
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 17,17
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Publicado por Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025112121 ISBN 13: 9781025112121
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 41,49
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Añadir al carritoBuch. Condición: Neu. Neuware.
Publicado por Creative Media Partners, LLC Nov 2012, 2012
ISBN 10: 1288286082 ISBN 13: 9781288286089
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 74,86
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware.
Publicado por Creative Media Partners, LLC, 2025
ISBN 10: 1025112121 ISBN 13: 9781025112121
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Creative Media Partners, LLC, 2025
ISBN 10: 1025112121 ISBN 13: 9781025112121
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 30,07
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 43,46
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Librería: Majestic Books, Hounslow, Reino Unido
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 55,39
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 44,66
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 53,72
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 46,42
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Librería: CitiRetail, Stevenage, Reino Unido
EUR 21,73
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Añadir al carritoPaperback. Condición: new. Paperback. As wireless networks become an increasingly common part of the infrastructure in industrialized nations, the vulnerabilities of this technology need to be evaluated. Even though there have been major advancements in encryption technology, security protocols and packet header obfuscation techniques, other distinguishing characteristics do exist in wireless network traffic. These characteristics include packet size, signal strength, channel utilization and others. Using these characteristics, windows of size 11, 31, and 51 packets are collected and machine learning (ML) techniques are trained to classify applications accessing the 802.11b wireless channel. The four applications used for this study included E-Mail, FTP, HTTP, and Print.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 66,38
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Añadir al carritoCondición: New. Print on Demand pp. 96.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 60,41
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 216.
Librería: CitiRetail, Stevenage, Reino Unido
EUR 34,67
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Añadir al carritoHardcover. Condición: new. Hardcover. As wireless networks become an increasingly common part of the infrastructure in industrialized nations, the vulnerabilities of this technology need to be evaluated. Even though there have been major advancements in encryption technology, security protocols and packet header obfuscation techniques, other distinguishing characteristics do exist in wireless network traffic. These characteristics include packet size, signal strength, channel utilization and others. Using these characteristics, windows of size 11, 31, and 51 packets are collected and machine learning (ML) techniques are trained to classify applications accessing the 802.11b wireless channel. The four applications used for this study included E-Mail, FTP, HTTP, and Print.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 67,27
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 96.