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Intrusion Detection System Using Datamining Techniques: Parallel Approaches Using Weka Tool Ketan Shah
Intrusion Detection System Using Datamining Techniques: Parallel Approaches Using Weka Tool
Ketan Shah
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.
| Media | Kirjat Paperback Book (Kirja pehmeillä kansilla ja liimatulla selällä) |
| Julkaisupäivämäärä | tiistai 8. toukokuuta 2012 |
| ISBN13 | 9783847378716 |
| Tuottaja | LAP LAMBERT Academic Publishing |
| Sivujen määrä | 76 |
| Mitta | 150 × 5 × 226 mm · 122 g |
| Kieli | Englanti |
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