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- Author: Antonio Cuadra-Sánchez
- Publisher: ISTE Press - Elsevier
- Year: 2015
- Pages: 70
- ISBN-10: 178548012X
- ISBN-13: 9781785480126
- Format: 15.2 x 22.9 x 0.8 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Traffic Anomaly Detection 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".
EXTRA 10 % discount with code: EXTRA
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- Author: Antonio Cuadra-Sánchez
- Publisher: ISTE Press - Elsevier
- Year: 2015
- Pages: 70
- ISBN-10: 178548012X
- ISBN-13: 9781785480126
- Format: 15.2 x 22.9 x 0.8 cm, kieti viršeliai
- Language: English English
Traffic Anomaly Detection 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".
Reviews