Goswami Ganesh Dutta Sanatan Dharma College, Chandigarh 160030, India.
Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India.
Sensors (Basel). 2023 Jun 26;23(13):5921. doi: 10.3390/s23135921.
Most data nowadays are stored in the cloud; therefore, cloud computing and its extension-fog computing-are the most in-demand services at the present time. Cloud and fog computing platforms are largely used by Internet of Things (IoT) applications where various mobile devices, end users, PCs, and smart objects are connected to each other via the internet. IoT applications are common in several application areas, such as healthcare, smart cities, industries, logistics, agriculture, and many more. Due to this, there is an increasing need for new security and privacy techniques, with attribute-based encryption (ABE) being the most effective among them. ABE provides fine-grained access control, enables secure storage of data on unreliable storage, and is flexible enough to be used in different systems. In this paper, we survey ABE schemes, their features, methodologies, benefits/drawbacks, attacks on ABE, and how ABE can be used with IoT and its applications. This survey reviews ABE models suitable for IoT platforms, taking into account the desired features and characteristics. We also discuss various performance indicators used for ABE and how they affect efficiency. Furthermore, some selected schemes are analyzed through simulation to compare their efficiency in terms of different performance indicators. As a result, we find that some schemes simultaneously perform well in one or two performance indicators, whereas none shines in all of them at once. The work will help researchers identify the characteristics of different ABE schemes quickly and recognize whether they are suitable for specific IoT applications. Future work that may be helpful for ABE is also discussed.
现在大多数数据都存储在云端；因此，云计算及其扩展——雾计算——是目前最受欢迎的服务。云平台和雾平台被物联网 (IoT) 应用广泛使用，各种移动设备、最终用户、个人计算机和智能对象通过互联网相互连接。物联网应用在多个应用领域中很常见，如医疗保健、智慧城市、工业、物流、农业等等。因此，对新的安全和隐私技术的需求日益增长，其中属性基加密 (ABE) 是最有效的技术之一。ABE 提供细粒度的访问控制，能够在不可靠的存储上安全地存储数据，并且足够灵活，可以在不同的系统中使用。在本文中，我们调查了 ABE 方案、它们的特征、方法、优点/缺点、对 ABE 的攻击，以及 ABE 如何与物联网及其应用一起使用。本调查考虑了所需的特征和特性，回顾了适合物联网平台的 ABE 模型。我们还讨论了用于 ABE 的各种性能指标以及它们如何影响效率。此外，通过模拟分析了一些选定的方案，以比较它们在不同性能指标下的效率。结果表明，一些方案在一个或两个性能指标上同时表现良好，而没有一个方案在所有指标上都表现出色。这项工作将帮助研究人员快速识别不同 ABE 方案的特征，并确定它们是否适合特定的物联网应用。还讨论了对 ABE 可能有帮助的未来工作。
