Intrusion Detection: A Data Mining Approach - Jaya Sil,Nandita Sengupta
-30% with code BOOKS
Shipping in 17-23 days
30-day return policy
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 algo ... Full description
You May Also Like
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-30% with code BOOKS
In stock at our supplier
TOP
The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck
-30% with code BOOKS
Out of stock
TOP
Heart Rate Variability: Science and Strategies for Peak Performance
Marco Altini, Sylvain Laborde, Dan Plews, Emma Mosley
-30% with code BOOKS
Out of stock
TOP
Many Faces, One Purpose: A Manager's Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-30% with code BOOKS
Out of stock
TOP
Thinking in Systems: International Bestseller
-30% with code BOOKS
In stock at our supplier
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-30% with code BOOKS
Out of stock
TOP
Medizinisches Englisch pocket
-30% with code BOOKS
In stock at our supplier
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-30% with code BOOKS
In stock at our supplier
TOP
Skin in the Game: Hidden Asymmetries in Daily Life
-30% with code BOOKS
In stock at our supplier
TOP
101 Things I Learned in Architecture School
-30% with code BOOKS
In stock at our supplier
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-30% with code BOOKS
In stock at our supplier
TOP
Worth Dying For: The Power and Politics of Flags
-30% with code BOOKS
In stock at our supplier
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-30% with code BOOKS
In stock at our supplier
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-30% with code BOOKS
In stock at our supplier
TOP
Only Dull People Are Brilliant at Breakfast
-30% with code BOOKS
In stock at our supplier
TOP
Playing It by the Book: Printed and Manuscript Book Games in Early Modern Europe
-30% with code BOOKS
In stock at our supplier
TOP
International Economics: Theory and Policy, Global Edition
Paul Krugman, Maurice Obstfeld, Marc Melitz
-30% with code BOOKS
In stock at our supplier
TOP
The Dictionary of Obscure Sorrows
-30% with code BOOKS
In stock at our supplier
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-30% with code BOOKS
In stock at our supplier
Description
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 risk of network intrusion. The book is unique in terms of its content, organization, and writing style. Primarily intended for graduate electrical and computer engineering students, it is also useful for doctoral students pursuing research in intrusion detection and practitioners interested in network security and administration. The book covers a wide range of applications, from general computer security to server, network, and cloud security.
More Information
| Author | Jaya Sil, Nandita Sengupta |
|---|---|
| Publisher | Springer Nature Singapore |
| Series | Cognitive Intelligence and Robotics |
| Release year | 2020 |
| Cover type | Hardcover |
| EAN | 9789811527159 |