Machine Learning for Cyber Security by Preeti Malik
This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools.
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Metaverse and Digital Twins
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Reengineering Cyber Security Process
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Operational Perspective of Modeling System Reliability
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Digital Blockchain
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Artificial Intelligence for Healthcare
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Distributed Transfer Function Method
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Soft Computing
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Supply Chain Sustainability
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Linear Integer Programming
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Systems Reliability Engineering
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Noise Filtering for Big Data Analytics
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Mathematics for Reliability Engineering
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Computational Intelligence
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Distributed Denial of Service Attacks
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Mathematical Fluid Mechanics
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Systems Performance Modeling
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Integral Transforms and Applications
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Multiple Criteria Decision-Making Methods
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Artificial Intelligence for Signal Processing and Wireless Communication
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Meta-heuristic Optimization Techniques
Preeti Malik, Mangey Ram, Graphic Era University, India; Lata Nautiyal, University of Bristol, UK.
| SKU | Unavailable |
| ISBN 13 | 9783110766738 |
| ISBN 10 | 3110766736 |
| Title | Machine Learning for Cyber Security |
| Author | Preeti Malik |
| Series | De Gruyter Series On The Applications Of Mathematics In Engineering And Information Sciences |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | De Gruyter |
| Year published | 2022-12-05 |
| Number of pages | 158 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |