baihe (36 resultados)

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In.

Condición: New.

Paperback. Condición: Brand New. 184 pages. 10.00x7.00x10.00 inches. In Stock.

Taschenbuch. Condición: Neu. Privacy in Vehicular Networks | Challenges and Solutions | Baihe Ma (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | CRC Press | EAN 9781032854175 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New.

Condición: New. In.

Condición: New.

Hardcover. Condición: Brand New. 184 pages. 10.00x7.00x10.00 inches. In Stock.

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condición: new. Paperback. In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. Privacy in Vehicular Networks delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This book stands out by addressing both the theoretical and practical aspects of location privacy, offering a thorough analysis of existing vulnerabilities and innovative solutions.This book meticulously examines the interplay between location privacy and the operational necessities of road networks. It introduces a differential privacy framework tailored specifically for vehicular environments, ensuring robust protection against various types of privacy breaches. By integrating advanced detection algorithms and personalized obfuscation schemes, the book provides a multi-faceted approach to enhancing location privacy without compromising data utility.The key features of this book can be summarized as follows: Comprehensive Analysis: Detailed examination of location privacy requirements and existing preservation mechanisms Innovative Solutions: Introduction of a Personalized Location Privacy-Preserving (PLPP) mechanism based on Road Network-Indistinguishability (RN-I) Advanced Detection: Utilization of Convolutional Neural Networks (CNN) for detecting illegal trajectories and enhancing data integrity Collective Security: Implementation of the Cloaking Region Obfuscation (CRO) mechanism to secure multiple vehicles in high-density road networks Holistic Approach: Joint Trajectory Obfuscation and Pseudonym Swapping (JTOPS) mechanism to seamlessly integrate privacy preservation with traffic management Future-Ready: Exploration of upcoming challenges and recommendations for future research in vehicular network privacyThis book is essential for researchers, practitioners, and policymakers in the fields of vehicular networks, data privacy, and cybersecurity. It provides valuable insights for anyone involved in the development and implementation of LBS, ensuring they are equipped with the knowledge to protect user privacy effectively. In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. This book delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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 -In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. Privacy in Vehicular Networks delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This book stands out by addressing both the theoretical and practical aspects of location privacy, offering a thorough analysis of existing vulnerabilities and innovative solutions.This book meticulously examines the interplay between location privacy and the operational necessities of road networks. It introduces a differential privacy framework tailored specifically for vehicular environments, ensuring robust protection against various types of privacy breaches. By integrating advanced detection algorithms and personalized obfuscation schemes, the book provides a multi-faceted approach to enhancing location privacy without compromising data utility.The key features of this book can be summarized as follows:Comprehensive Analysis: Detailed examination of location privacy requirements and existing preservation mechanismsInnovative Solutions: Introduction of a Personalized Location Privacy-Preserving (PLPP) mechanism based on Road Network-Indistinguishability (RN-I)Advanced Detection: Utilization of Convolutional Neural Networks (CNN) for detecting illegal trajectories and enhancing data integrityCollective Security: Implementation of the Cloaking Region Obfuscation (CRO) mechanism to secure multiple vehicles in high-density road networksHolistic Approach: Joint Trajectory Obfuscation and Pseudonym Swapping (JTOPS) mechanism to seamlessly integrate privacy preservation with traffic managementFuture-Ready: Exploration of upcoming challenges and recommendations for future research in vehicular network privacyThis book is essential for researchers, practitioners, and policymakers in the fields of vehicular networks, data privacy, and cybersecurity. It provides valuable insights for anyone involved in the development and implementation of LBS, ensuring they are equipped with the knowledge to protect user privacy effectively. 188 pp. Englisch.

Paperback. Condición: new. Paperback. In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. Privacy in Vehicular Networks delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This book stands out by addressing both the theoretical and practical aspects of location privacy, offering a thorough analysis of existing vulnerabilities and innovative solutions.This book meticulously examines the interplay between location privacy and the operational necessities of road networks. It introduces a differential privacy framework tailored specifically for vehicular environments, ensuring robust protection against various types of privacy breaches. By integrating advanced detection algorithms and personalized obfuscation schemes, the book provides a multi-faceted approach to enhancing location privacy without compromising data utility.The key features of this book can be summarized as follows: Comprehensive Analysis: Detailed examination of location privacy requirements and existing preservation mechanisms Innovative Solutions: Introduction of a Personalized Location Privacy-Preserving (PLPP) mechanism based on Road Network-Indistinguishability (RN-I) Advanced Detection: Utilization of Convolutional Neural Networks (CNN) for detecting illegal trajectories and enhancing data integrity Collective Security: Implementation of the Cloaking Region Obfuscation (CRO) mechanism to secure multiple vehicles in high-density road networks Holistic Approach: Joint Trajectory Obfuscation and Pseudonym Swapping (JTOPS) mechanism to seamlessly integrate privacy preservation with traffic management Future-Ready: Exploration of upcoming challenges and recommendations for future research in vehicular network privacyThis book is essential for researchers, practitioners, and policymakers in the fields of vehicular networks, data privacy, and cybersecurity. It provides valuable insights for anyone involved in the development and implementation of LBS, ensuring they are equipped with the knowledge to protect user privacy effectively. In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. This book delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Baihe Ma received his B.E. and M.E. degrees from Xidian University, China, in 2016 and 2019, respectively, and he received his Ph.D. degree from the University of Technology Sydney, Australia, in 2024. His primary research interests encompass cybe.

Hardcover. Condición: new. Hardcover. In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. Privacy in Vehicular Networks delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This book stands out by addressing both the theoretical and practical aspects of location privacy, offering a thorough analysis of existing vulnerabilities and innovative solutions.This book meticulously examines the interplay between location privacy and the operational necessities of road networks. It introduces a differential privacy framework tailored specifically for vehicular environments, ensuring robust protection against various types of privacy breaches. By integrating advanced detection algorithms and personalized obfuscation schemes, the book provides a multi-faceted approach to enhancing location privacy without compromising data utility.The key features of this book can be summarized as follows: Comprehensive Analysis: Detailed examination of location privacy requirements and existing preservation mechanisms Innovative Solutions: Introduction of a Personalized Location Privacy-Preserving (PLPP) mechanism based on Road Network-Indistinguishability (RN-I) Advanced Detection: Utilization of Convolutional Neural Networks (CNN) for detecting illegal trajectories and enhancing data integrity Collective Security: Implementation of the Cloaking Region Obfuscation (CRO) mechanism to secure multiple vehicles in high-density road networks Holistic Approach: Joint Trajectory Obfuscation and Pseudonym Swapping (JTOPS) mechanism to seamlessly integrate privacy preservation with traffic management Future-Ready: Exploration of upcoming challenges and recommendations for future research in vehicular network privacyThis book is essential for researchers, practitioners, and policymakers in the fields of vehicular networks, data privacy, and cybersecurity. It provides valuable insights for anyone involved in the development and implementation of LBS, ensuring they are equipped with the knowledge to protect user privacy effectively. In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. This book delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. Privacy in Vehicular Networks delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This book stands out by addressing both the theoretical and practical aspects of location privacy, offering a thorough analysis of existing vulnerabilities and innovative solutions.This book meticulously examines the interplay between location privacy and the operational necessities of road networks. It introduces a differential privacy framework tailored specifically for vehicular environments, ensuring robust protection against various types of privacy breaches. By integrating advanced detection algorithms and personalized obfuscation schemes, the book provides a multi-faceted approach to enhancing location privacy without compromising data utility.The key features of this book can be summarized as follows:Comprehensive Analysis: Detailed examination of location privacy requirements and existing preservation mechanismsInnovative Solutions: Introduction of a Personalized Location Privacy-Preserving (PLPP) mechanism based on Road Network-Indistinguishability (RN-I)Advanced Detection: Utilization of Convolutional Neural Networks (CNN) for detecting illegal trajectories and enhancing data integrityCollective Security: Implementation of the Cloaking Region Obfuscation (CRO) mechanism to secure multiple vehicles in high-density road networksHolistic Approach: Joint Trajectory Obfuscation and Pseudonym Swapping (JTOPS) mechanism to seamlessly integrate privacy preservation with traffic managementFuture-Ready: Exploration of upcoming challenges and recommendations for future research in vehicular network privacyThis book is essential for researchers, practitioners, and policymakers in the fields of vehicular networks, data privacy, and cybersecurity. It provides valuable insights for anyone involved in the development and implementation of LBS, ensuring they are equipped with the knowledge to protect user privacy effectively.