Putting the User in Control of the Intelligent Transportation System

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• 关键词：Security ; Traffic ; Sharing ; Policies ; Trust in information
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9722
• 期：1
• 页码：231-246
• 全文大小：2,088 KB
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• 作者单位：Catalin Gosman (15)
  Tudor Cornea (15)
  Ciprian Dobre (15)
  Florin Pop (15)
  Aniello Castiglione (16)
  
  15. Computer Science Deparment, University Politehnica of Bucharest, 313, Splaiul Independentei, 060042, Bucharest, Romania
  16. Department of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, Salerno, Italy
  
• 丛书名：Information Security and Privacy
• ISBN：978-3-319-40253-6
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9722

文摘

Intelligent Transportation Systems (ITS) demonstrate innovative services for different modes of transport and traffic management. They enable users to be better informed and make safer, coordinated, and smarter use of transport networks. However, for such systems to be effective, security and privacy considerations have to be enforced. GPS data can lead to accurate traffic models, but such data can also be used by malicious advisories to gain knowledge about the whereabouts of users. In this paper, we propose a model and related constructs for users to define sharing policies for the data they contribute. The model allows entities to define data sharing policies associated with personal information captured by an ITS application. While ITS applications need to use specific data under various quality and context-based constraints, the user-oriented security policies could specify additional usage constraints, and our solution is an approach to mediate between these two sides. Secondly, we propose an algorithm to manage the trust level in the data contributed by users. The solution is based on the quality parameters of the information disseminated in the system, e.g. spatial whereabouts and timestamp for the transmitted data regarding various events happening in the system, combined with the reputation specific to the sources that transmit data. We evaluate a pilot security implementation of the model under real-world assumptions.