Agents Secure Software Defined Networking by Mehta Het (25 results)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
US$ 47.14
US$ 2.64 shippingShips within U.S.A.Quantity: 3 available
Condition: New.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
US$ 50.00
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 48.34
US$ 2.64 shippingShips within U.S.A.Quantity: 3 available
Condition: As New. Unread book in perfect condition.
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contact seller5-star sellerCondition: New
US$ 64.26
Free ShippingShips within U.S.A.Quantity: 2 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
US$ 62.96
US$ 6.80 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 58.17
US$ 20.32 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
Condition: As New. Unread book in perfect condition.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 62.49
US$ 20.32 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
Condition: New.
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
US$ 83.93
Free ShippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: New. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reveals how… AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
- Softcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
Contact seller5-star sellerCondition: New
US$ 87.58
Free ShippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: New. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reveals how… AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
- Softcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermanyRheinberg-Buch Andreas Meier eK
Contact seller5-star sellerCondition: New
US$ 76.53
US$ 26.62 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book…reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. 304 pp. Englisch.
- Softcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
US$ 76.53
US$ 26.62 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book…reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. 304 pp. Englisch.
- Softcover
Seller: Wegmann1855, Zwiesel, GermanyWegmann1855
Contact seller5-star sellerCondition: New
US$ 76.53
US$ 30.03 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book…reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
Published by Apress, 2026
- Softcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
Contact seller4-star sellerCondition: Used - Very good
US$ 58.89
US$ 4.99 shippingShips within U.S.A.Quantity: 1 available
Add to basketpaperback. Condition: Very Good.
- Softcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
Contact seller5-star sellerCondition: New
US$ 92.75
US$ 50.00 shippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: New. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reveals how… AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
US$ 63.54
US$ 81.02 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. AI Agents for Secure and Software-Defined Networking | Harnessing AI and SDN to Revolutionize Modern Work Environments | Het Mehta | Taschenbuch | xxxi | Englisch | 2026 | Apress | EAN 9798868823572 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3…, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
US$ 76.53
US$ 69.44 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book…reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 270 pp. Englisch.
- Softcover
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 91.78
US$ 56.70 shippingShips from Germany to U.S.A.Quantity: 2 available
Condition: New.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 76.53
US$ 72.78 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. Neuware - This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book… reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
US$ 80.68
US$ 88.05 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: New. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reveals how… AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
- Softcover
Seller: Books-by-Floh, Paderborn, GermanyBooks-by-Floh
Contact seller4-star sellerCondition: New
US$ 76.53
US$ 121.53 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book…reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. 304 pp. Englisch.
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
US$ 49.77
Free ShippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enoughthis book r…eveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniquesincluding reinforcement learning, graph neural networks, and explainable AIcan achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystemsessential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
Contact seller5-star sellerCondition: New
US$ 59.88
US$ 7.87 shippingShips from Italy to U.S.A.Quantity: Over 20 available
Condition: new. Questo è un articolo print on demand.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 66.26
US$ 50.12 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enoughthis book r…eveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniquesincluding reinforcement learning, graph neural networks, and explainable AIcan achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystemsessential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 113.97
US$ 11.52 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
- Softcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
US$ 115.90
US$ 37.00 shippingShips from Australia to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enoughthis book r…eveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniquesincluding reinforcement learning, graph neural networks, and explainable AIcan achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystemsessential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. 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.
