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Intrusion Detection : a Machine Learning Approach.
This important book introduces the concept of intrusion detection, discusses various approaches for intrusion detection systems (IDS), and presents the architecture and implementation of IDS. It emphasizes on the prediction and learning algorithms for intrusion detection and highlights techniques fo...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore :
World Scientific,
2011.
|
| Colección: | Series in electrical and computer engineering.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
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| 008 | 110725s2011 si o 000 0 eng d | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Tsai, Jeffrey J. P. | |
| 245 | 1 | 0 | |a Intrusion Detection : |b a Machine Learning Approach. |
| 260 | |a Singapore : |b World Scientific, |c 2011. | ||
| 300 | |a 1 online resource (185 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Series in Electrical and Computer Engineering | |
| 505 | 0 | |a Preface; Contents; Chapter 1 Introduction; 1.1. Background; 1.2. Existing Problems; Chapter 2 Attacks and Countermeasures in Computer Security; 2.1. General Security Objectives; 2.2. Types of Attacks; 2.3. Countermeasures of Attacks; Chapter 3 Machine Learning Methods; 3.1. Background; 3.2. Concept Learning; 3.3. Decision Tree; 3.4. Neural Networks; 3.5. Bayesian Learning; 3.6. Genetic Algorithms and Genetic Programming; 3.7. Instance-Based Learning; 3.8. Inductive Logic Programming; 3.9. Analytical Learning; 3.10. Inductive and Analytical Learning; 3.11. Reinforcement Learning. | |
| 505 | 8 | |a 3.12. Ensemble Learning3.13. Multiple Instance Learning; 3.14. Unsupervised Learning; 3.15. Semi-Supervised Learning; 3.16. Support Vector Machines; Chapter 4 Intrusion Detection System; 4.1. Background; 4.2. Available Audit Data; 4.3. Preprocess Methods; 4.4. Detection Methods; 4.5. Architecture for Network Intrusion Detection System; Part A Intrusion Detection for Wired Network; Chapter 5 Techniques for Intrusion Detection; Chapter 6 Adaptive Automatically Tuning Intrusion Detection System; Chapter 7 System Prototype and Performance Evaluation. | |
| 505 | 8 | |a Part B Intrusion Detection for Wireless Sensor NetworkChapter 8 Attacks against Wireless Sensor Network; Chapter 9 Intrusion Detection System for Wireless Sensor Network; Chapter 10 Conclusion and Future Research; Cited Literature; Index. | |
| 520 | |a This important book introduces the concept of intrusion detection, discusses various approaches for intrusion detection systems (IDS), and presents the architecture and implementation of IDS. It emphasizes on the prediction and learning algorithms for intrusion detection and highlights techniques for intrusion detection of wired computer networks and wireless sensor networks. The performance comparison of various IDS via simulation will also be included. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Computer networks |x Security measures. | |
| 650 | 6 | |a Réseaux d'ordinateurs |x Sécurité |x Mesures. | |
| 650 | 7 | |a Computer networks |x Security measures |2 fast | |
| 758 | |i has work: |a Intrusion detection (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGM38TKychpp7dTjKxCgjC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Tsai, Jeffrey J.P. |t Intrusion Detection : A Machine Learning Approach. |d Singapore : World Scientific, ©2011 |z 9781848164475 |
| 830 | 0 | |a Series in electrical and computer engineering. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=737642 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL737642 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n 314819 | ||
| 994 | |a 92 |b IZTAP | ||