ELSA: Edge Lightweight Searchable Attribute-based encryption Multi-keyword Scalability

2022 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2022-06-22 DOI:10.1109/DSC54232.2022.9888846

Jawhara Aljabri, A. L. Michala, Jeremy Singer

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引用次数: 1

Abstract

The digitalisation of industrial manufacturing needs the support of systems technology to enhance the efficiency of manufacturing operations, product quality, and smart decisions. This digitalisation can be achieved by the industrial internet of things (IIoT). IIoT has played a powerful role in smart manufacturing by performing real-time analysis for a large volume of data. One possible approach to perform these operations in a secure and privacy-preserving manner is to utilise cryptographic solutions. In previous work, we proposed searchable encryption with an access control algorithm for IIoT based on an edge-cloud architecture, namely ELSA. This paper extends ELSA to illustrate the correlation between the number of keywords and ELSA performance. This extension supports annotating records with multiple keywords in trapdoor and record storage and allows the record to be returnable with single-keyword queries. In addition, the experiments demonstrate the scalability and efficiency of ELSA with an increasing number of keywords and complexity.

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ELSA: Edge轻量级可搜索属性加密多关键字可扩展性

工业制造的数字化需要系统技术的支持，以提高制造运营效率、产品质量和智能决策。这种数字化可以通过工业物联网(IIoT)实现。工业物联网通过对大量数据进行实时分析，在智能制造中发挥了强大的作用。以安全和保护隐私的方式执行这些操作的一种可能方法是利用加密解决方案。在之前的工作中，我们提出了基于边缘云架构的IIoT访问控制算法的可搜索加密，即ELSA。本文扩展了ELSA，以说明关键字数量与ELSA性能之间的相关性。这个扩展支持在trapdoor和记录存储中标注多个关键字的记录，并允许记录与单关键字查询可返回。此外，实验表明，随着关键词数量和复杂度的增加，ELSA的可扩展性和效率也在不断提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 IEEE Conference on Dependable and Secure Computing (DSC)

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