  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.
