Generative adversarial networks cybersecurity (17 resultados)
Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Chandra Blessie, E. (EDT); Raj, Pethuru (EDT); Sundaravadivazhagan, B. (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 105,11
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Chandra Blessie, E. (EDT); Raj, Pethuru (EDT); Sundaravadivazhagan, B. (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 119,10
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Chandra Blessie, E. (EDT); Raj, Pethuru (EDT); Sundaravadivazhagan, B. (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 103,84
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 129,06
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 137,50
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Condición: New.
Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Chandra Blessie, E. (EDT); Raj, Pethuru (EDT); Sundaravadivazhagan, B. (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 119,81
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 146,45
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 133,71
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Hardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 145,43
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Librería: moluna, Greven, Alemaniamoluna
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EUR 135,37
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Condición: 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.
Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks
Chandra Blessie, E. (Editor)/ Raj, Pethuru (Editor)/ Sundaravadivazhagan, B. (Editor)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 180,17
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Hardcover. Condición: Brand New. 264 pages. 9.18x6.12x9.45 inches. In Stock.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 146,37
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Buch. Condición: 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 w…hen 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 security's ethical and privacy concerns - GANs and explainable artificial intelligence (AI) - Building trustworthy sixth-generation (6G) networks with Generative Adversarial Learning (GAL) - Intrusion detection systems enhanced by GANs GANs 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.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 107,51
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Hardcover. Condición: 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 mo…dels 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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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 138,53
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HRD. Condición: 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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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 145,66
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HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 103,85
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Hardcover. Condición: 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 mo…dels 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.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 186,97
Envío por EUR 32,50Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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 mo…dels 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.
