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Can I read Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics) on EtoBox?
Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics) by Nandita Sengupta, Jaya Sil is a computer science book available to read on EtoBox.
What is Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics) about?
This book presents state-of-the-art research on intrusion detection using reinforcement learning, fuzzy and rough set theories, and genetic algorithm. Reinforcement learning is employed to incrementally learn the computer network behavior, while rough and fuzzy sets are utilized to handle the uncertainty involved in the detection of traffic anomaly to secure data resources from possible attack. Genetic algorithms make it possible to optimally select the network traffic parameters to reduce the r
Who reads Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Nandita Sengupta, Jaya Sil
- Publisher
- Springer Singapore : Imprint : Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9789811527159
- Category
- computer science
- Subjects
- Engineering, Computer Science, Computers
- Updated
- 2026-03-25
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