driss maha (34 resultados)

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Taschenbuch. Condición: Neu. Decision Making and Security Risk Management for IoT Environments | Wadii Boulila (u. a.) | Taschenbuch | Advances in Information Security | viii | Englisch | 2025 | Springer | EAN 9783031475924 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains contemporary research that outlines and addresses security, privacy challenges and decision-making in IoT environments. The authors provide a variety of subjects related to the following Keywords: IoT, security, AI, deep learning, federated learning, intrusion detection systems, and distributed computing paradigms. This book also offers a collection of the most up-to-date research, providing a complete overview of security and privacy-preserving in IoT environments. It introduces new approaches based on machine learning that tackles security challenges and provides the field with new research material that's not covered in the primary literature.The Internet of Things (IoT) refers to a network of tiny devices linked to the Internet or other communication networks. IoT is gaining popularity, because it opens up new possibilities for developing many modern applications. This would include smart cities, smart agriculture, innovative healthcare services and more. The worldwide IoT market surpassed $100 billion in sales for the first time in 2017, and forecasts show that this number might reach $1.6 trillion by 2025. However, as IoT devices grow more widespread, threats, privacy and security concerns are growing. The massive volume of data exchanged highlights significant challenges to preserving individual privacy and securing shared data. Therefore, securing the IoT environment becomes difficult for research and industry stakeholders.Researchers, graduate students and educators in the fields of computer science, cybersecurity, distributed systems and artificial intelligence will want to purchase this book. It will also be a valuable companion for users and developers interested in decision-making and security risk management in IoT environments.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains contemporary research that outlines and addresses security, privacy challenges and decision-making in IoT environments. The authors provide a variety of subjects related to the following Keywords: IoT, security, AI, deep learning, federated learning, intrusion detection systems, and distributed computing paradigms. This book also offers a collection of the most up-to-date research, providing a complete overview of security and privacy-preserving in IoT environments. It introduces new approaches based on machine learning that tackles security challenges and provides the field with new research material that's not covered in the primary literature.The Internet of Things (IoT) refers to a network of tiny devices linked to the Internet or other communication networks. IoT is gaining popularity, because it opens up new possibilities for developing many modern applications. This would include smart cities, smart agriculture, innovative healthcare services and more. The worldwide IoT market surpassed $100 billion in sales for the first time in 2017, and forecasts show that this number might reach $1.6 trillion by 2025. However, as IoT devices grow more widespread, threats, privacy and security concerns are growing. The massive volume of data exchanged highlights significant challenges to preserving individual privacy and securing shared data. Therefore, securing the IoT environment becomes difficult for research and industry stakeholders.Researchers, graduate students and educators in the fields of computer science, cybersecurity, distributed systems and artificial intelligence will want to purchase this book. It will also be a valuable companion for users and developers interested in decision-making and security risk management in IoT environments.

Hardcover. Condición: Brand New. 237 pages. 9.26x6.10x9.21 inches. In Stock.

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Taschenbuch. Condición: Neu. Composition multi-perspective et centrée exigences de services Web | Approche par alignement top-down basée sur la variabilité des exigences | Maha Driss | Taschenbuch | 128 S. | Französisch | 2012 | Éditions universitaires européennes | EAN 9783841791870 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

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PAP. 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.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Le paradigme architecture orientée service AOS est devenu un standard pour la conception et le développement d'applications distribuées à base de services Web. Malgré tous les avantages qu'elles apportent en termes d'interopérabilité et de réutilisation, les solutions de développement associées au paradigme AOS sont destinées aux programmeurs et restent difficiles à comprendre par le monde de l'entreprise. Pour être en phase avec le monde de l'entreprise, les applications à base de services doivent être décrites en termes d'exigences qu'elles permettent de satisfaire et non pas en termes de fonctionnalités qu'elles permettent de réaliser. Nous proposons dans ce livre, une approche multi-perspective centrée exigences pour la composition de services Web. Cette approche positionne la composition des services à une perspective centrée exigences dans laquelle les services métiers de haut niveau sont décrits en termes d'exigences qu'ils permettent de satisfaire. Un processus d'alignement, intégrant la variabilité de composition, est proposé pour assurer la mise en correspondance entre ces services métiers et les services logiciels qui les réalisent. 128 pp. Französisch.

Condición: new. Questo è un articolo print on demand.

Condición: new. Questo è un articolo print on demand.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains contemporary research that outlines and addresses security, privacy challenges and decision-making in IoT environments. The authors provide a variety of subjects related to the following Keywords: IoT, security, AI, deep learning, federated learning, intrusion detection systems, and distributed computing paradigms. This book also offers a collection of the most up-to-date research, providing a complete overview of security and privacy-preserving in IoT environments. It introduces new approaches based on machine learning that tackles security challenges and provides the field with new research material that's not covered in the primary literature.The Internet of Things (IoT) refers to a network of tiny devices linked to the Internet or other communication networks. IoT is gaining popularity, because it opens up new possibilities for developing many modern applications. This would include smart cities, smart agriculture, innovative healthcare services and more. The worldwide IoT market surpassed $100 billion in sales for the first time in 2017, and forecasts show that this number might reach $1.6 trillion by 2025. However, as IoT devices grow more widespread, threats, privacy and security concerns are growing. The massive volume of data exchanged highlights significant challenges to preserving individual privacy and securing shared data. Therefore, securing the IoT environment becomes difficult for research and industry stakeholders.Researchers, graduate students and educators in the fields of computer science, cybersecurity, distributed systems and artificial intelligence will want to purchase this book. It will also be a valuable companion for users and developers interested in decision-making and security risk management in IoT environments. 240 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains contemporary research that outlines and addresses security, privacy challenges and decision-making in IoT environments. The authors provide a variety of subjects related to the following Keywords: IoT, security, AI, deep learning, federated learning, intrusion detection systems, and distributed computing paradigms. This book also offers a collection of the most up-to-date research, providing a complete overview of security and privacy-preserving in IoT environments. It introduces new approaches based on machine learning that tackles security challenges and provides the field with new research material that's not covered in the primary literature.The Internet of Things (IoT) refers to a network of tiny devices linked to the Internet or other communication networks. IoT is gaining popularity, because it opens up new possibilities for developing many modern applications. This would include smart cities, smart agriculture, innovative healthcare services and more. The worldwide IoT market surpassed $100 billion in sales for the first time in 2017, and forecasts show that this number might reach $1.6 trillion by 2025. However, as IoT devices grow more widespread, threats, privacy and security concerns are growing. The massive volume of data exchanged highlights significant challenges to preserving individual privacy and securing shared data. Therefore, securing the IoT environment becomes difficult for research and industry stakeholders.Researchers, graduate students and educators in the fields of computer science, cybersecurity, distributed systems and artificial intelligence will want to purchase this book. It will also be a valuable companion for users and developers interested in decision-making and security risk management in IoT environments. 240 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A comprehensive review for security and privacy-preserving in IoT and IIoT environmentsPresents new machine/deep learning-based approaches to secure decision-making in IoT environmentsIntroduces real-world applications of machine/deep/feder.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Internet of Things Overview: Architecture, Technologies, Application, and Challenges.- IoMT Applications Perspectives: from Opportunities and Security Challenges to Cyber-Risk Management.- Cybersecurity Challenges and Implications for the Adoption of Cloud Computing and IoT: DDoS Attacks as an Example.- Implementation of the C4.5 Algorithm in the Internet of Things Applications.- Intrusion Detection Systems using Machine Learning.- Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan.- New Proposed Model for the Influence of Climate Change on the Tension Anticipation in Hospital Emergencies.- Statistical Downscaling Modeling for Temperature Prediction.- UAV-based IoT applications for action recognition.- Federated Learning for Market Surveillance.- Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 240 pp. Englisch.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Internet of Things Overview: Architecture, Technologies, Application, and Challenges.- IoMT Applications Perspectives: from Opportunities and Security Challenges to Cyber-Risk Management.- Cybersecurity Challenges and Implications for the Adoption of Cloud Computing and IoT: DDoS Attacks as an Example.- Implementation of the C4.5 Algorithm in the Internet of Things Applications.- Intrusion Detection Systems using Machine Learning.- Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan.- New Proposed Model for the Influence of Climate Change on the Tension Anticipation in Hospital Emergencies.- Statistical Downscaling Modeling for Temperature Prediction.- UAV-based IoT applications for action recognition.- Federated Learning for Market Surveillance.- Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 240 pp. Englisch.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Le paradigme architecture orientée service AOS est devenu un standard pour la conception et le développement d'applications distribuées à base de services Web. Malgré tous les avantages qu'elles apportent en termes d'interopérabilité et de réutilisation, les solutions de développement associées au paradigme AOS sont destinées aux programmeurs et restent difficiles à comprendre par le monde de l'entreprise. Pour être en phase avec le monde de l'entreprise, les applications à base de services doivent être décrites en termes d'exigences qu'elles permettent de satisfaire et non pas en termes de fonctionnalités qu'elles permettent de réaliser. Nous proposons dans ce livre, une approche multi-perspective centrée exigences pour la composition de services Web. Cette approche positionne la composition des services à une perspective centrée exigences dans laquelle les services métiers de haut niveau sont décrits en termes d'exigences qu'ils permettent de satisfaire. Un processus d'alignement, intégrant la variabilité de composition, est proposé pour assurer la mise en correspondance entre ces services métiers et les services logiciels qui les réalisent.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Französisch.