Review Article on the Effectiveness and Security of Cloud-Based Information Retrieval Systems

Abstract

Background:
Information Retrieval (IR) is the process of gathering unstructured material, i.e. text that fulfils
a data need from huge databases stored on computers. It informs the user of the existence and
location of documents that may contain the necessary information. IR enables customers to
explore and categorise data sets, as well as conduct analysis on a collection of retrieved articles.
Aim of the study:
The purpose of the current study is to summarize current achievements in cross-modal retrieval,
with a particular focus on text and image retrieval (image-to-text and text-to-image). It
incorporates several new works and references that were omitted from previous assessments.
Methods:
The research will use the electronic questionnaire form as a tool for the field study by
developing the questionnaire and its axes and phrases in accordance with the study's theoretical
framework and past research on the issue. The five-degree Likert scale was utilised to answer
the research tool's questions.
Results:
Our data indicate that the average efficiency of cloud-based information retrieval systems is
3.335 with a standard deviation of 1.13. Cloud-based information retrieval systems have a high
degree of security, with a mean of 3.693 and a standard deviation of 1.260. As a consequence,
they are less advantageous in some scenarios.
Conclusions:
Cloud computing is a popular way to store, process and retrieve data. However, because the
cloud service provider has total control over the user's data, privacy concerns abound. When
exchanging data with several users from different domains, the user must perform information
retrieval to decrypt the data. As shown, encryption is vital in the cloud to maintain data security
and privacy.