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Intrusion Detection System using datamining techniques. Parallel Approaches Using WEKA Tool
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Shubha Puthran and Ketan Shah
ISBN: 9783847378716
Год издания: 2012
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 76
Издательство: LAP LAMBERT Academic Publishing
Цена: 30358 тг
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Отрасли знаний:Код товара: 488838
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Аннотация: Security is a big issue for all networks including defense and government infrastructure. Attacks on network infrastructure are threats against the information security. The Intrusion detection system (IDS) is one that scans incoming data activities and attempt to detect the intrusions. The classification algorithms in IDS are used to categorize the well known large variety of intrusions. In recent years, data mining based IDS have executed good performance. Still challenges exist in the design and implementation of quality IDSs. The goal of this classification and clustering based IDS system is to decrease the False alarm rates and increase the accuracy.
Ключевые слова: intrusion detection, Data Mining
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