In recent years, edge computing has emerged as a promising technology due to its unique feature of real-time computing and parallel processing. They provide computing and storage capacity closer to the data source and bypass the distant links to the cloud. The edge data analytics process the ubiquitous data on the edge layer to offer real-time interactions for the application. However, this process can be prone to security threats like gaining malicious access or manipulating sensitive data. This can lead to the intruder's control, alter, or add erroneous data affecting the integrity and data analysis efficiency. Due to the lack of transparency of stakeholders processing edge data, it is challenging to identify the vulnerabilities. Many reviews are available on data security issues on the edge layer; however, they do not address integrity issues exclusively. Therefore, this paper concentrates only on data integrity threats that directly influence edge data analysis. Further shortcomings in existing work are identified with few research directions.
翻译:近年来,边缘计算因其实时计算和平行处理的独特特点而成为一种有希望的技术,它提供了更接近数据源的计算和储存能力,并绕过云层的遥远链接。边缘数据分析过程对边缘层无处不在的数据进行分析,以便为应用程序提供实时互动。然而,这一过程容易受到安全威胁的影响,如恶意获取或操纵敏感数据。这可能导致入侵者控制、改变或增加影响完整性和数据分析效率的错误数据。由于处理边缘数据的利益攸关方缺乏透明度,查明脆弱性是困难的。许多审查都涉及边缘层的数据安全问题;然而,它们并不专门处理完整性问题。因此,本文只侧重于直接影响到边缘数据分析的数据完整性威胁。现有工作中的进一步缺陷没有研究方向。