Chapter 29Environmental-Assisted Vehicular Data in Smart Cities

Wei Chang1, Huanyang Zheng2, Jie Wu2, Chiu C. Tan2 and Haibin Ling2

1Department of Computer Science, Saint Joseph's University, Philadelphia, PA, USA

2Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA

Objectives

  • To become familiar with the security and privacy issues of location information in smart cities
  • To become familiar with the concept of location proof for trajectories in context of smart cities
  • To become familiar with the conventional approaches for generating location proofs and their shortcomings
  • To become familiar with the idea of environmental element-based location proof
  • To become familiar with the optimal RSU deployment problem, which aims to generate secure and privacy-preserved location proofs by using a minimum number of RSUs

29.1 Location-Related Security and Privacy Issues in Smart Cities

For the past two decades, the term smart cities has gained an increasing attraction from academia, government [1, 2], and industry [3, 4]. Within future smart cities, people are expecting the usage of data, not only from some static pre-deployed roadside sensors but also from intelligent vehicles moving within the cities day after ...

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