Intrusion Detection Based on Big Data Fuzzy Analytics
In today’s world, Intrusion Detection System (IDS) is one of the significant tools used to the improvement of network security, by detecting attacks or abnormal data accesses. Most of existing IDS have many disadvantages such as high false alarm rates and low detection rates. For the IDS, dealing wi...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2021
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/78258 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Intrusion Detection Based on Big Data Fuzzy Analytics
- Hybrid Intrusion Detection Systems (HIDS) using Fuzzy Logic
- Big Data Analytics and Its Applications in Supply Chain Management
- Forecasting Energy Consumption in Educational Buildings with Big Data Analytics
- Fuzzy Analytical Network Process Implementation with Matlab
- A Quantitative Analysis of Big Data Analytics Capabilities and Supply Chain Management
- Fuzzy Pattern Modelling of Data Inherent Structures Based on Aggregation of Data with Heterogeneous Fuzziness