安全可信的物联网私有数据共享机制

IF 3.2 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Mengyuan Li , Shaoyong Guo , Wenjing Li , Ao Xiong , Xiaoming Zhou , Jun Qi , Feng Qi , Dong Wang , Da Li
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引用次数: 0

摘要

近年来,物联网(Internet of Things, IoT)技术的快速发展,使得存储在云端的数据量显著增加。然而,传统的物联网系统主要依赖云数据中心进行信息存储和用户访问控制服务。这种做法会在物联网数据共享平台上造成隐私泄露的风险,包括数据篡改和数据泄露等问题。为了解决这些问题,区块链技术凭借其固有的特性,如防篡改和去中心化,已经成为一种有前途的解决方案,可以实现物联网数据的可信共享。尽管如此,在这种情况下实现加密数据搜索仍然存在挑战。提出了一种新的可搜索属性加密访问控制机制,促进可信云数据共享。用户可以使用关键字对特定数据进行高效搜索,并在数据属性与访问策略一致的情况下对内容密钥进行解密。这样,云服务提供商将无法访问任何与数据隐私相关的信息,保证了数据共享的安全性和可信度,也保护了用户数据隐私。我们的仿真结果表明,我们的方法在时间开销方面优于现有的研究。与传统的访问控制方案相比,我们的方法将数据加密时间缩短33%,解密时间缩短5%,搜索时间缩短75%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Secure and trusted sharing mechanism of private data for Internet of Things

Secure and trusted sharing mechanism of private data for Internet of Things
In recent years, the rapid development of Internet of Things (IoT) technology has led to a significant increase in the amount of data stored in the cloud. However, traditional IoT systems rely primarily on cloud data centers for information storage and user access control services. This practice creates the risk of privacy breaches on IoT data sharing platforms, including issues such as data tampering and data breaches. To address these concerns, blockchain technology, with its inherent properties such as tamper-proof and decentralization, has emerged as a promising solution that enables trusted sharing of IoT data. Still, there are challenges to implementing encrypted data search in this context. This paper proposes a novel searchable attribute cryptographic access control mechanism that facilitates trusted cloud data sharing. Users can use keywords To efficiently search for specific data and decrypt content keys when their properties are consistent with access policies. In this way, cloud service providers will not be able to access any data privacy-related information, ensuring the security and trustworthiness of data sharing, as well as the protection of user data privacy. Our simulation results show that our approach outperforms existing studies in terms of time overhead. Compared to traditional access control schemes,our approach reduces data encryption time by 33%, decryption time by 5%, and search time by 75%.
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CiteScore
4.70
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