Traffic anomaly detection:
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 con...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London, UK
ISTE, Ltd.
2015
|
| Subjects: | |
| Online Access: | FLA01 Volltext |
| Summary: | 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." |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | 1 online resource illustrations |
| ISBN: | 9780081008072 0081008074 |
Staff View
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| 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." | ||
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Record in the Search Index
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| author | Cua-Sánchez, Antonio Aracil, Javier |
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| dewey-full | 621.3822 |
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| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3822 |
| dewey-search | 621.3822 |
| dewey-sort | 3621.3822 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Electronic eBook |
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| id | DE-604.BV046126963 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:55Z |
| institution | BVB |
| isbn | 9780081008072 0081008074 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031507417 |
| oclc_num | 927438026 |
| open_access_boolean | |
| physical | 1 online resource illustrations |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | ISTE, Ltd. |
| record_format | marc |
| spelling | Cua-Sánchez, Antonio Verfasser aut Traffic anomaly detection Antonio Cua-Sánchez, Javier Aracil London, UK ISTE, Ltd. 2015 1 online resource illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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." TECHNOLOGY & ENGINEERING / Mechanical bisacsh Computer networks fast Signal detection / Mathematical models fast Signal detection / Statistical methods fast Signal processing / Mathematical models fast Signal processing / Statistical methods fast Signal detection Statistical methods Signal detection Mathematical models Signal processing Statistical methods Signal processing Mathematical models Computer networks Aracil, Javier aut Erscheint auch als Druck-Ausgabe 9781785480126 http://www.sciencedirect.com/science/book/9781785480126 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Cua-Sánchez, Antonio Aracil, Javier Traffic anomaly detection TECHNOLOGY & ENGINEERING / Mechanical bisacsh Computer networks fast Signal detection / Mathematical models fast Signal detection / Statistical methods fast Signal processing / Mathematical models fast Signal processing / Statistical methods fast Signal detection Statistical methods Signal detection Mathematical models Signal processing Statistical methods Signal processing Mathematical models Computer networks |
| title | Traffic anomaly detection |
| title_auth | Traffic anomaly detection |
| title_exact_search | Traffic anomaly detection |
| title_full | Traffic anomaly detection Antonio Cua-Sánchez, Javier Aracil |
| title_fullStr | Traffic anomaly detection Antonio Cua-Sánchez, Javier Aracil |
| title_full_unstemmed | Traffic anomaly detection Antonio Cua-Sánchez, Javier Aracil |
| title_short | Traffic anomaly detection |
| title_sort | traffic anomaly detection |
| topic | TECHNOLOGY & ENGINEERING / Mechanical bisacsh Computer networks fast Signal detection / Mathematical models fast Signal detection / Statistical methods fast Signal processing / Mathematical models fast Signal processing / Statistical methods fast Signal detection Statistical methods Signal detection Mathematical models Signal processing Statistical methods Signal processing Mathematical models Computer networks |
| topic_facet | TECHNOLOGY & ENGINEERING / Mechanical Computer networks Signal detection / Mathematical models Signal detection / Statistical methods Signal processing / Mathematical models Signal processing / Statistical methods Signal detection Statistical methods Signal detection Mathematical models Signal processing Statistical methods Signal processing Mathematical models |
| url | http://www.sciencedirect.com/science/book/9781785480126 |
| work_keys_str_mv | AT cuasanchezantonio trafficanomalydetection AT araciljavier trafficanomalydetection |