Gao longxiang (19 Ergebnisse)

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 2015 edition. 96 pages. 9.00x6.00x0.25 inches. In Stock.

Zustand: New. In English.

Paperback. Zustand: Brand New. 350 pages. 9.25x6.10x0.47 inches. In Stock.

Paperback. Zustand: Brand New. 120 pages. 9.25x6.10x0.43 inches. In Stock.

Zustand: New.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Delay Tolerant Networks | Longxiang Gao (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | ix | Englisch | 2015 | Springer | EAN 9783319181073 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed post-conference proceedings of the 13th International Conference on Ad Hoc Networks, ADHOCNETS 2021, held in December 2021, and the 16th International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TRIDENTCOM 2021, held in November 2021. Both conferences were held virtually due to COVID 19 pandemic. The 15 full papers of ADHOCNETS 2021 were selected from 29 submissions and cover a variety of network paradigms including ad hoc networks (MANETs), wireless sensor networks (WSNs), vehicular ad hoc networks (Vanets), airborne networks, underwater networks, underground networks, personal area networks, and home networks, etc. It promises a wide range of applications in civilian, commercial, and military areas. The 18 full papers were selected from 47 submissions and deal the emerging technologies such as Industry 4.0, blockchain,deep learning, cloud/edge/fog computing, cyber physical systems, cybersecurity and computer communications. …

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner.The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions.Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.…

Taschenbuch. Zustand: Neu. Ad Hoc Networks and Tools for IT | 13th EAI International Conference, ADHOCNETS 2021, Virtual Event, December 6-7, 2021, and 16th EAI International Conference, TRIDENTCOM 2021, Virtual Event, November 24, 2021, Proceedings | Wei Bao (u. a.) | Taschenbuch | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering | xv | Englisch | 2022 | Springer | EAN 9783030980047 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This book constitutes the refereed post-conference proceedings of the 13th International Conference on Ad Hoc Networks, ADHOCNETS 2021, held in December 2021, and the 16th International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TRIDENTCOM 2021, held in November 2021. Both conferences were held virtually due to COVID 19 pandemic. The 15 full papers of ADHOCNETS 2021 were selected from 29 submissions and cover a variety of network paradigms including ad hoc networks (MANETs), wireless sensor networks (WSNs), vehicular ad hoc networks (Vanets), airborne networks, underwater networks, underground networks, personal area networks, and home networks, etc. It promises a wide range of applications in civilian, commercial, and military areas. The 18 full papers were selected from 47 submissions and deal the emerging technologies such as Industry 4.0, blockchain,deep learning, cloud/edge/fog computing, cyber physical systems, cybersecurity and computer communications.…

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing.…

Softcover. Zustand: gut. 2022. Privacy Preservation in IoT: Machine Learning Approaches In deutscher Sprache. pages.

Hardcover. Zustand: Brand New. 125 pages. 9.25x6.10x0.38 inches. In Stock.