|
|
|
|
| LEADER |
04618nam a2200685Ii 4500 |
| 001 |
625207d0-d120-4267-a158-43bd0ea7c547 |
| 005 |
20240519000000.0 |
| 008 |
151104s2015 enka ob 001 0 eng d |
| 019 |
|
|
|a 929533336
|
| 020 |
|
|
|a 0081008074
|q (electronic bk.)
|
| 020 |
|
|
|a 9780081008072
|q (electronic bk.)
|
| 020 |
|
|
|z 9781785480126
|
| 035 |
|
|
|a (OCoLC)927438026
|z (OCoLC)929533336
|
| 035 |
|
9 |
|a (OCLCCM-CC)927438026
|
| 040 |
|
|
|a N$T
|b eng
|e rda
|e pn
|c N$T
|d N$T
|d IDEBK
|d OCLCO
|d BTCTA
|d YDXCP
|d CDX
|d EBLCP
|d OCLCO
|d OCLCF
|d OCLCO
|d OPELS
|d OCLCO
|d UIU
|d MERUC
|d IDB
|d VGM
|d OCLCQ
|d U3W
|d WRM
|d D6H
|d CEF
|d EZ9
|d OCLCQ
|d AU@
|d OCLCQ
|d S2H
|d OCLCO
|d OCLCQ
|d CSt
|
| 040 |
|
|
|a N$T
|b eng
|e rda
|e pn
|c N$T
|d N$T
|d IDEBK
|d OCLCO
|d BTCTA
|d YDXCP
|d CDX
|d EBLCP
|d OCLCO
|d OCLCF
|d OCLCO
|d OPELS
|d OCLCO
|d UIU
|d MERUC
|d IDB
|d VGM
|d OCLCQ
|d U3W
|
| 049 |
|
|
|a MAIN
|
| 050 |
|
4 |
|a TK5102.5
|
| 072 |
|
7 |
|a TEC
|x 009070
|2 bisacsh
|
| 082 |
0 |
4 |
|a 621.3822
|2 23
|
| 100 |
1 |
|
|a Cua-Sánchez, Antonio,
|e author
|
| 100 |
1 |
|
|a Cua-Sánchez, Antonio,
|e author
|
| 245 |
1 |
0 |
|a Traffic anomaly detection /
|c Antonio Cua-Sánchez, Javier Aracil
|
| 264 |
|
1 |
|a London, UK :
|b ISTE, Ltd. ;
|a Kidlington, Oxford, UK :
|b Elsevier,
|c 2015
|
| 300 |
|
|
|a 1 online resource :
|b illustrations
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 504 |
|
|
|a Includes bibliographical references and index
|
| 505 |
0 |
|
|a Front Cover -- Traffic Anomaly Detection -- Copyright -- Contents -- Introduction
|
| 505 |
8 |
|
|a 2.3. Macroscopic Observation of Traffic 2.4. Average-Day Analysis -- 2.5. Conclusion -- Chapter 3: Comparative Analysis of Traffic Anomaly Detection Methods
|
| 505 |
8 |
|
|a 3.1. Introduction 3.2. State of the Art -- 3.3. Average-Day Preliminary Analysis -- 3.4. Proposed Change Point Detection Algorithms
|
| 505 |
8 |
|
|a Chapter 1: Introduction to Traffic Anomaly Detection Methods 1.1. Cumulative Sum Control Charts (CUSUM) -- 1.2. Tests of Goodness-of-fit -- 1.3. Mutual Information (MI)
|
| 505 |
8 |
|
|a Chapter 2: Finding the Optimal Aggregation Period 2.1. Introduction -- 2.2. State of the Art
|
| 520 |
|
|
|a 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."
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (EBSCO, viewed November 5, 2015)
|
| 596 |
|
|
|a 22
|
| 650 |
|
0 |
|a Computer networks
|
| 650 |
|
0 |
|a Signal detection
|x Mathematical models
|
| 650 |
|
0 |
|a Signal detection
|x Statistical methods
|
| 650 |
|
0 |
|a Signal processing
|x Mathematical models
|
| 650 |
|
0 |
|a Signal processing
|x Statistical methods
|
| 650 |
|
6 |
|a Détection du signal
|x Modèles mathématiques
|
| 650 |
|
6 |
|a Détection du signal
|x Méthodes statistiques
|
| 650 |
|
6 |
|a Réseaux d'ordinateurs
|
| 650 |
|
6 |
|a Traitement du signal
|x Modèles mathématiques
|
| 650 |
|
6 |
|a Traitement du signal
|x Méthodes statistiques
|
| 650 |
|
7 |
|a Computer networks
|2 fast
|
| 650 |
|
7 |
|a Signal detection
|x Mathematical models
|2 fast
|
| 650 |
|
7 |
|a Signal detection
|x Statistical methods
|2 fast
|
| 650 |
|
7 |
|a Signal processing
|x Mathematical models
|2 fast
|
| 650 |
|
7 |
|a Signal processing
|x Statistical methods
|2 fast
|
| 650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Mechanical
|2 bisacsh
|
| 655 |
|
4 |
|a Electronic books
|
| 700 |
1 |
|
|a Aracil, Javier,
|e author
|
| 776 |
0 |
8 |
|i Print version:
|a Cuadra-Sánchez, Antonio
|t Traffic Anomaly Detection.
|d Kent : Elsevier Science, ©2015
|z 9781785480126
|
| 776 |
0 |
8 |
|i Print version:
|a Cuadra-Sánchez, Antonio
|t Traffic Anomaly Detection.
|d Kent : Elsevier Science, ©2015
|z 9781785480126
|
| 999 |
1 |
0 |
|i 625207d0-d120-4267-a158-43bd0ea7c547
|l a11640710
|s US-CST
|m traffic_anomaly_detection__________________________________________________2015_______istela________________________________________cua_sanchez__antonio_______________e
|
| 999 |
1 |
0 |
|i 625207d0-d120-4267-a158-43bd0ea7c547
|l 11249384
|s US-ICU
|m traffic_anomaly_detection__________________________________________________2015_______istela________________________________________cua_sanchez__antonio_______________e
|
| 999 |
1 |
1 |
|l a11640710
|s ISIL:US-CST
|t BKS
|a SUL INTERNET
|b 11640710-1001
|c INTERNET RESOURCE
|d ASIS
|x SUL
|y 11640710-1001
|p UNLOANABLE
|