• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

10% studentrabatt med kod TERM26

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare

    Mina sidor

      Hjälp

      • Kundservice
      • Vanliga frågor och svar
      • Frakt och leverans
      • Retur vid ångerrätt
      • Reklamera vara
      • Betalning
      • Köpvillkor
      • Allmänna villkor
      • Information om webbplatsens tillgänglighet

      Om Bokus

      • Om oss
      • Pressrum
      • För studenter
      • För företag
      • För bibliotek och offentlig verksamhet
      • För leverantörer
      • Hållbarhet

      Populärt

      • Aktuella erbjudanden
      • Presentkort
      • Studentlitteratur
      • Nya böcker
      • Topplistor
      • Signerade böcker
      • Engelska böcker

      Inspiration

      • Boktips
      • BookTok
      • Populära bokserier
      • Barnbokskaraktärer
      • Populära författare
      Logotyp för Bokus
      Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
      bokus @ CookiesAnpassa cookiesIntegritetspolicyKöpvillkor
      Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
      1. Data och IT
      2. Nätverk och kommunikation

      Privacy in Vehicular Networks

      Challenges and Solutions

      AvBaihe Ma,Xu Wang

      Inbunden, Engelska, 2025

      2 067 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Fler format och utgåvor

      Häftad

      783 kr

      Beskrivning

      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.

      Produktinformation

      • Utgivningsdatum:2025-02-18
      • Mått:178 x 254 x 15 mm
      • Vikt:508 g
      • Format:Inbunden
      • Språk:Engelska
      • Antal sidor:174
      • Förlag:Taylor & Francis Ltd
      • ISBN:9781032823522

      Utforska kategorier

      • Nätverk och kommunikation inom Data och IT
      • Flyg- och rymdteknik inom Naturvetenskap och teknik
      • IT-säkerhet inom Data och IT

      Mer om författaren

      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 cybersecurity, data privacy, location privacy, and trust management. He has published 26 papers and 5 patents.Dr. Xu Wang received his B.E. from Beijing Information Science and Technology University, China, in 2010, and dual Ph.D. degrees from Beijing University of Posts and Telecommunications, China, in 2019 and the University of Technology Sydney, Australia, in 2020. He is currently a Senior Lecturer in the Faculty of Engineering and IT (FEIT) at UTS and teaches Cybersecurity subjects. His primary research interests encompass several domains, including blockchain, cybersecurity, vehicle privacy and security, IoT and AI. He has published 42 research papers and 3 patents.Dr. Wei Ni3 received the B.E. and Ph.D. degrees in Communication Science and Engineering from Fudan University, Shanghai, China, in 2000 and 2005, respectively. He is a Principal Research Scientist at CSIRO, Sydney, Australia, a Fellow of IEEE, a Conjoint Professor at the University of New South Wales, an Adjunct Professor at the University of Technology Sydney, and an Honorary Professor at Macquarie University. He was a Postdoctoral Fellow at Shanghai Jiaotong University from 2005 to 2008; Deputy Project Manager at Bell Labs, Alcatel/Alcatel-Lucent from 2005 to 2008; and Senior Researcher at Nokia from 2008 to 2009. He has authored eight book chapters, more than 300 journal papers, more than 100 conference papers, 26 patents, and ten standard proposals accepted by IEEE. His research interests include machine learning, online learning, and stochastic optimization and their applications to the security, integrity, and efficiency of network systems. Dr. Ni has served as an Editor for IEEE Transactions on Vehicular Technology since 2022, IEEE Transactions on Wireless Communications since 2018, and Cambridge Press New Research Directions: Cyber-Physical Systems since 2022. He served as the Chair of the IEEE Vehicular Technology Society New South Wales Chapter from 2020 to 2022, the Secretary and then the Vice-Chair of the Chapter from 2015 to 2019, Track Chair for VTC-Spring 2017, Track Co-chair for IEEE VTC-Spring 2016, Publication Chair for BodyNet 2015, and Student Travel Grant Chair for WPMC 2014.Ren Ping Liu received his B.E. degree from Beijing University of Posts and Telecommunications, China, and the Ph.D. degree from the University of Newcastle, Australia, in 1985 and 1996, respectively. Ren Ping Liu is a Professor and Head of the Discipline of Network & Cybersecurity at the University of Technology Sydney (UTS). As a research leader, a certified network professional, and a full-stack web developer, he has delivered networking and cybersecurity solutions to government agencies and industry customers. His research interests include wireless networking, 5G, IoT, Vehicular Networks, 6G, Cybersecurity, and Blockchain. He has supervised over 30 PhD students, and has over 200 research publications. Professor Liu was the winner of NSW iAwards 2020 for leading the BeFAQT (Blockchain-enabled Fish provenance And Quality Tracking) project. He was awarded the Australian Engineering Innovation Award 2012 and the CSIRO Chairman’s Medal for his contribution to the Wireless Backhaul project. Professor Liu was the founding chair of the IEEE NSW VTS Chapter and a Senior Member of IEEE.1https://scholar.google.com/citations?user=AfvXcVoAAAAJ&hl=en&oi=ao2https://profiles.uts.edu.au/Xu.Wang-1 3https://people.csiro.au/N/W/Wei-Ni, https://www.unsw.edu.au/staff/wei-ni 4https://profiles.uts.edu.au/renping.liu

      Innehållsförteckning

      • Abstract. List of Figures. List of Tables. 1. Introduction. 2. Earlier Development of LPPM. 3. Personalized Location Privacy with RN-I. 4. Vehicle Trajectory Obfuscation and Detection. 5. Cloaking Region Obfuscation for RN-I and Location Privacy. 6. Cooperative Trajectory Privacy Protection. 7. Conclusion. Bibliography. Index.
      Hoppa över listan

      Mer från samma författare

      Ren Ping Liu, Wei Ni, Xu Wang, Baihe Ma - Privacy in Vehicular Networks, E-bok

      Privacy in Vehicular Networks

      Ren Ping Liu, Wei Ni, Xu Wang, Baihe Ma

      E-bok
      2025

      922 kr

      Ren Ping Liu, Wei Ni, Xu Wang, Baihe Ma - Privacy in Vehicular Networks, E-bok

      Privacy in Vehicular Networks

      Ren Ping Liu, Wei Ni, Xu Wang, Baihe Ma

      E-bok
      2025

      922 kr

      Hoppa över listan

      Du kanske också är intresserad av

      Baihe Ma, Xu Wang, Wei Ni, Ren Ping Liu - Privacy in Vehicular Networks, Häftad

      Privacy in Vehicular Networks

      Baihe Ma, Xu Wang, Wei Ni, Ren Ping Liu

      Häftad, 2025

      783 kr

      Ren Ping Liu, Wei Ni, Xu Wang, Baihe Ma - Privacy in Vehicular Networks, E-bok

      Privacy in Vehicular Networks

      Ren Ping Liu, Wei Ni, Xu Wang, Baihe Ma

      E-bok
      2025

      922 kr

      Eryk Dutkiewicz, Ren Ping Liu, Wei Ni, Xin Yuan, Baoling Shan - Graph Learning Techniques, E-bok

      Graph Learning Techniques

      Eryk Dutkiewicz, Ren Ping Liu, Wei Ni, Xin Yuan, Baoling Shan

      E-bok
      2025

      925 kr

      Baoling Shan, Xin Yuan, Wei Ni, Ren Ping Liu, Eryk Dutkiewicz - Graph Learning Techniques, Häftad

      Graph Learning Techniques

      Baoling Shan, Xin Yuan, Wei Ni, Ren Ping Liu, Eryk Dutkiewicz

      Häftad, 2025

      783 kr

      Eryk Dutkiewicz, Ren Ping Liu, Wei Ni, Xin Yuan, Baoling Shan - Graph Learning Techniques, E-bok

      Graph Learning Techniques

      Eryk Dutkiewicz, Ren Ping Liu, Wei Ni, Xin Yuan, Baoling Shan

      E-bok
      2025

      922 kr

      Guangsheng Yu, Haiyu Deng, Ren Ping Liu, Wei Ni, Xu Wang, Yanna Jiang - Distributed and Trusted Learning, Inbunden

      Distributed and Trusted Learning

      Guangsheng Yu, Haiyu Deng, Ren Ping Liu, Wei Ni, Xu Wang, Yanna Jiang

      Inbunden, 2027

      1 443 kr

      Ren Ping Liu, Wei Ni, Xu Wang, Baihe Ma - Privacy in Vehicular Networks, E-bok

      Privacy in Vehicular Networks

      Ren Ping Liu, Wei Ni, Xu Wang, Baihe Ma

      E-bok
      2025

      922 kr

      Baoling Shan, Xin Yuan, Wei Ni, Ren Ping Liu, Eryk Dutkiewicz - Graph Learning Techniques, Inbunden

      Graph Learning Techniques

      Baoling Shan, Xin Yuan, Wei Ni, Ren Ping Liu, Eryk Dutkiewicz

      Inbunden, 2025

      1 474 kr

      Sarah Ali Siddiqui, Adnan Mahmood, Quan Z. Sheng, Hajime Suzuki, Wei Ni - On the Road to Resilience, Inbunden

      On the Road to Resilience

      Sarah Ali Siddiqui, Adnan Mahmood, Quan Z. Sheng, Hajime Suzuki, Wei Ni

      Inbunden, 2024

      966 kr

      Kai Li, Xin Yuan, Wei Ni - Security and Resilience in Distributed Machine Learning, Inbunden

      Security and Resilience in Distributed Machine Learning

      Kai Li, Xin Yuan, Wei Ni

      Inbunden, 2026

      2 018 kr