Machine Learning Techniques for Characterizing IEEE 802.11b Encrypted Data Streams - Rilegato

Henson, Michael J

Rilegato

ISBN 10: 1025112121 ISBN 13: 9781025112121

Casa editrice: Hutson Street Press, 2025

Riassunto

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.

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Dettagli dell'edizione

• Editore: Hutson Street Press
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1025112121
• ISBN 13: 9781025112121
• Rilegatura: Copertina rigida
• Numero di pagine: 94
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile