logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Traffic Anomaly Detection 1st Edition Antonio Cuadrasánchez

  • SKU: BELL-5433484
Traffic Anomaly Detection 1st Edition Antonio Cuadrasánchez
$ 31.00 $ 45.00 (-31%)

4.0

46 reviews

Traffic Anomaly Detection 1st Edition Antonio Cuadrasánchez instant download after payment.

Publisher: ISTE Press - Elsevier
File Extension: PDF
File size: 1.27 MB
Pages: 70
Author: Antonio Cuadra-Sánchez, Javier Aracil
ISBN: 9780081008072, 9781785480126, 0081008074, 178548012X
Language: English
Year: 2015
Edition: 1

Product desciption

Traffic Anomaly Detection 1st Edition Antonio Cuadrasánchez by Antonio Cuadra-sánchez, Javier Aracil 9780081008072, 9781785480126, 0081008074, 178548012X instant download after payment.

This book presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach is based on the analysis of time aggregation adjacent periods of the traffic. As traffic varies throughout the day, it is essential to consider the concrete traffic period in which the anomaly occurs. This book presents the algorithms proposed specifically for this analysis and an empirical comparative analysis of those methods and settle a new information theory based technique, named "typical day analysis".

  • A new information-theory based technique for traffic anomaly detection (typical day analysis)
  • Introductory chapters to anomaly detection methods including control charts, tests of goodness-of-fit Mutual Information
  • Contains comparative analysis of traffic anomaly detection methods

Related Products

Traffic Paul Josephson

4.0

36 reviews
$45.00 $31.00
Traffic Paul Josephson

4.4

72 reviews
$45.00 $31.00