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Condition: New. Brand New.
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Next-Generation Recommendation Systems
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Language: English
Published by Auerbach Publications, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Language: English
Published by Auerbach Publications, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Condition: New.
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Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
Language: English
Published by Auerbach Publications, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Condition: New.
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Language: English
Published by Auerbach Publications, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 101.03
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Language: English
Published by Auerbach Publications, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
Language: English
Published by Auerbach Publications, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Condition: New.
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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
Language: English
Published by Auerbach Publications, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Condition: New.
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Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits
Language: English
Published by John Wiley & Sons Inc, 2026
ISBN 10: 1394351542 ISBN 13: 9781394351541
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 126.92
£ 16.01 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New. Dr. E. Chandra Blessie is currently working as dean, Innovation, School of Innovation, KG College of Arts and Science, Coimbatore, Tamil Nadu, India. She has 23 years of teaching experience. She is guiding Ph.D. research scholars. She ha.
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Hardcover. Condition: Brand New. 368 pages. In Stock.
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Hardcover. Condition: Brand New. 264 pages. 9.18x6.12x9.45 inches. In Stock.
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Generative Adversarial Networks for Cybersecurity: : Protecting Data and Networks
Language: English
Published by Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Buch. Condition: Neu. Neuware - Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.
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Condition: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2026. 1st Edition. hardcover. . . . . .
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Generative Adversarial Networks for Cybersecurity: (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Hardcover. Condition: new. Hardcover. Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.Exploring the application of GAN models in intrusion detection, anomaly detection, and cybercrime, Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks covers how GANs can be applied to pinpoint security holes, vulnerabilities, viruses, malware, phishing attacks, and other security risks. It explains how advanced GANs integrated with such digital technologies as the Internet of Things (IoT), cloud-native computing, edge analytics, serverless technology, and blockchain to protect and secure data and information from security breaches. The book also discusses how GANs can identify outliers, performance bottlenecks, and other issues in cloud infrastructure modules, applications, and data. Other topics featured in the book include:GAN-based securitys ethical and privacy concernsGANs and explainable artificial intelligence (AI)Building trustworthy sixth-generation (6G) networks with Generative Adversarial Learning (GAL)Intrusion detection systems enhanced by GANsGANs are a valuable tool for enhancing cybersecurity efforts by generating synthetic data and images that can show unusual patterns in data. This book helps researchers, academics, and professionals realize the potential of this powerful tool by presenting the latest innovations and applications of GANs in cybersecurity. This book explores the application of diversified generative adversarial network (GAN) models in the fields of intrusion detection, anomaly detection, and cybercrime. It discusses how GANs can be smartly applied to pinpoint vulnerabilities and security attacks, as well as discusses ethical and privacy concerns. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Generative Adversarial Networks for Cybersecurity:
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 115.82
£ 5.02 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Generative Adversarial Networks for Cybersecurity: (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Hardcover. Condition: new. Hardcover. Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.Exploring the application of GAN models in intrusion detection, anomaly detection, and cybercrime, Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks covers how GANs can be applied to pinpoint security holes, vulnerabilities, viruses, malware, phishing attacks, and other security risks. It explains how advanced GANs integrated with such digital technologies as the Internet of Things (IoT), cloud-native computing, edge analytics, serverless technology, and blockchain to protect and secure data and information from security breaches. The book also discusses how GANs can identify outliers, performance bottlenecks, and other issues in cloud infrastructure modules, applications, and data. Other topics featured in the book include:GAN-based securitys ethical and privacy concernsGANs and explainable artificial intelligence (AI)Building trustworthy sixth-generation (6G) networks with Generative Adversarial Learning (GAL)Intrusion detection systems enhanced by GANsGANs are a valuable tool for enhancing cybersecurity efforts by generating synthetic data and images that can show unusual patterns in data. This book helps researchers, academics, and professionals realize the potential of this powerful tool by presenting the latest innovations and applications of GANs in cybersecurity. This book explores the application of diversified generative adversarial network (GAN) models in the fields of intrusion detection, anomaly detection, and cybercrime. It discusses how GANs can be smartly applied to pinpoint vulnerabilities and security attacks, as well as discusses ethical and privacy concerns. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
Generative Adversarial Networks for Cybersecurity: (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Hardcover. Condition: new. Hardcover. Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.Exploring the application of GAN models in intrusion detection, anomaly detection, and cybercrime, Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks covers how GANs can be applied to pinpoint security holes, vulnerabilities, viruses, malware, phishing attacks, and other security risks. It explains how advanced GANs integrated with such digital technologies as the Internet of Things (IoT), cloud-native computing, edge analytics, serverless technology, and blockchain to protect and secure data and information from security breaches. The book also discusses how GANs can identify outliers, performance bottlenecks, and other issues in cloud infrastructure modules, applications, and data. Other topics featured in the book include:GAN-based securitys ethical and privacy concernsGANs and explainable artificial intelligence (AI)Building trustworthy sixth-generation (6G) networks with Generative Adversarial Learning (GAL)Intrusion detection systems enhanced by GANsGANs are a valuable tool for enhancing cybersecurity efforts by generating synthetic data and images that can show unusual patterns in data. This book helps researchers, academics, and professionals realize the potential of this powerful tool by presenting the latest innovations and applications of GANs in cybersecurity. This book explores the application of diversified generative adversarial network (GAN) models in the fields of intrusion detection, anomaly detection, and cybercrime. It discusses how GANs can be smartly applied to pinpoint vulnerabilities and security attacks, as well as discusses ethical and privacy concerns. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
