Machine Learning Techniques for Characterizing IEEE 802.11b Encrypted Data Streams by Henson, Michael J.

Machine Learning Techniques for Characterizing IEEE 802.11b Encrypted Data Streams (Paperback) (ISBN-13: 9781288286089)

Vendor: Michael J. Henson
Product type: Books
Format: Paperback
$57.95
$57.95
$57.95
Subtotal: $57.95
Machine Learning Techniques for Characterizing IEEE 802.11b Encrypted Data Streams by Henson, Michael J.

Machine Learning Techniques for Characterizing IEEE 802.11b Encrypted Data Streams

$57.95
Machine Learning Techniques for Characterizing IEEE 802.11b Encrypted Data Streams by Henson, Michael J.

Machine Learning Techniques for Characterizing IEEE 802.11b Encrypted Data Streams

$57.95
Format: Paperback
Description
Description
x
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.

Author: Michael J. Henson
ISBN-10: 1288286082
ISBN-13: 9781288286089
Publisher: Biblioscholar
Language: English
Published: 11/12/2012
Pages: 96
Format: Paperback
Weight: 0.41lbs
Size: 9.69h x 7.44w x 0.20d

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