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An Attribute-Based Access Control for Cloud Enabled Industrial Smart Vehicles

机译：支持云的基于属性的访问控制启用的工业智能车辆

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摘要

Smart cities' vision will encompass connected industrial vehicles, which will offer data-driven and intelligent services to the user. Such interaction within dispersed connected objects are sometimes referred as the industrial Internet-of-Vehicles (IIoV). The prime motivation of an intelligent transportation system (ITS) is ensuring the safety of the drivers and offering a comfortable experience to the user. However, such complex infrastructures opens broad attack surfaces to the adversaries, which can remotely exploit and control the critical mechanics in the smart vehicles, including engine and brake systems. Security and privacy concerns are significant barriers to the wide adoption of this revolutionary technology that has to be addressed before a comprehensive implementation of the real vision of ITS. This article is a stepping stone to address access control issues in the IIoV ecosystem and propose a formal attribute-based access control system (referred to ITS-ABAC(G)). The proposed model introduces the notion of groups, which are assigned to various smart entities based on the different attributes. It also offers the implementation of fine-grained security policies and considers individualized privacy preferences along with system-wide policies to accept or reject notification, alerts, and advertisements from different participating smart entities. We present the prototype implementation of our proposed model in the Amazon Web Services IoT platform together with extensive performance to reflect the practicality and wide-scale adoption of the proposed system.
机译：智能城市的愿景将包括连接的工业车辆，这将向用户提供数据驱动和智能服务。分散连接物体内的这种相互作用有时被称为工业互联网（IIOV）。智能交通系统（其）的主要动机是确保司机的安全，并为用户提供舒适的体验。然而，这种复杂的基础设施为对手开辟了广泛的攻击表面，对手可以远程利用和控制智能车辆中的关键力学，包括发动机和制动系统。安全和隐私问题是广泛采用这种革命性技术的重要障碍，必须在全面实施其真实愿景之前解决。本文是一个踏脚石，用于解决IIOV生态系统中的访问控制问题，并提出基于正式的基于属性的访问控制系统（参考其-ABAC（g））。所提出的模型引入了基于不同属性的各种智能实体的组的概念。它还提供了细粒度的安全策略的实现，并考虑了个性化隐私偏好以及系统范围的政策，以接受或拒绝来自不同参与智能实体的通知，警报和广告。我们在亚马逊Web服务IOT平台中提出了我们提出的模型的原型实施，以及广泛的性能，以反映所提出的系统的实用性和广泛采用。

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