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A Lightweight Attribute-Based Access Control Scheme for Intelligent Transportation System With Full Privacy Protection

机译：全隐私保护基于轻量级属性的访问控制方案

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The Intelligent Transportation System (ITS) provides more possibilities for the realization of smart cities by integrating the Internet of Things (IoT) and cloud computing. However, how to ensure security of IoT data stored in the cloud has become one of the biggest challenges at present. As a promising solution for realizing fine-grained access control, Ciphertext-Policy Attribute-Based Encryption (CP-ABE) can be used to ensure data security. However, the traditional CP-ABE schemes may leak privacy of ITS users. Moreover, due to their high computational overheads, the current privacy-preserving techniques are not suitable for IoT lightweight devices. To fill this gap, this article presents ABE-FPP, a lightweight attribute-based access control scheme with full privacy protection (FPP), which can achieve full privacy protection in the three key stages (i.e., key generation, access control, and partial decryption), while reducing consumption overhead on the user side. Specifically, to protect privacy during key generation, a lightweight two-party secure computing protocol between the user and the authority is designed to generate secret keys; to protect privacy during the access control policy setting, we present an efficient policy hidden strategy, which only reveals attribute names and efficiently hides attribute values; to protect privacy during partial decryption, we propose a hybrid authenticationmethod that does not need to submit attribute values to the cloud. Moreover, to achieve lightweight computation for IoT devices, online/offline encryption and outsourced decryption are employed in ABE-FPP. Finally, formal security proofs show that our scheme is secure in the standard model. The asymptotic complexity analyses and experimental results demonstrate that the presented scheme achieves higher computation efficiency than the state-of-the-art ones.
机译：智能交通系统（其）通过集成物联网（物联网）和云计算来提供更多的可能性来实现智能城市。但是，如何确保存储在云中的IOT数据安全已成为目前最大的挑战之一。作为实现细粒度访问控制的有希望的解决方案，可以使用基于密文 - 策略属性的加密（CP-ABE）来确保数据安全性。但是，传统的CP-ABE计划可能会泄露其用户的隐私。此外，由于其高计算开销，目前的保留技术不适合IOT轻量级设备。为了填补这一差距，本文介绍了ABE-FPP，具有完全隐私保护（FPP）的轻量级属性 - 基于的访问控制方案，可以在三个关键阶段（即键生成，访问控制和部分）来实现完整的隐私保护解密），同时减少用户侧的消耗开销。具体而言，为了保护密钥生成期间的隐私，用户和权限之间的轻量级双方安全计算协议被设计为生成秘密密钥;要在访问控制策略设置期间保护隐私，我们呈现了一个有效的策略隐藏策略，它只显示属性名称并有效地隐藏属性值;要在部分解密期间保护隐私，我们提出了一个混合身份验证方法，它不需要将属性值提交到云。此外，为了实现IOT设备的轻量级计算，在ABE-FPP中使用在线/离线加密和外包解密。最后，正式的安全证明表明我们的计划在标准模型中是安全的。渐近复杂性分析和实验结果表明，所提出的方案比最先进的计算效率达到更高的计算效率。

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