Review of Data Integrity Attacks and Mitigation Methods in Edge computing

TL;DR

This paper reviews data integrity threats in edge computing, highlighting vulnerabilities and mitigation strategies, and emphasizes the need for dedicated focus on integrity issues distinct from general security concerns.

Contribution

It provides a focused review of data integrity attacks and mitigation methods in edge computing, identifying gaps and proposing future research directions.

Findings

Edge computing faces specific data integrity threats.

Current mitigation methods are limited and need further development.

Identified research gaps in addressing integrity issues.

Abstract

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.