Smart Cities

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

Chapter Menu

Location-Related Security and Privacy Issues in Smart Cities

Opportunities of Using Environmental Evidences

Challenges of Creating Location Proofs

Environmental Evidence-Assisted Vehicular Data Framework

Conclusion

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 ...