Security Ontologies in Cloud Computing

Cloud computing (CC) has the potential to augment collaboration, scalability, and accessibility, while providing cost-saving opportunities via enhanced and efficient computing, thus enabling enterprises to maintain focus. Cloud-based security ontologies are organized frameworks that delineate and classify topics pertinent to security in CC settings. They assist in standardizing language and enhance communication, interoperability, and comprehension among diverse stakeholders, including security experts, developers, and organizations. The ontology-based security strategy is one of the security solutions used by relevant parties. Nevertheless, target customers and cloud service providers see it as complex and lacking in security, since the applicable paradigms for various contexts are not clearly defined. Previous research has identified many security ideas that service providers might use, employing several evaluation methodologies. This highlights the growing need for reviewing the literature on Cloud Security Ontology (CSO). This research outlines the current state of the art in cloud computing ontology (CCO) and conducts a comprehensive literature review on the topic. Using the systematic literature review (SLR) approach, we identified 100 papers; 60 were selected based on established criteria, and 25 were assessed to be pertinent to the study. Scholars have shown active interest in four main areas of CC—service description, cloud security (CS), cloud resource management, cloud interoperability, and cloud service discovery—where cloud ontologies have had a significant impact. According to the research, fifteen of the thirty-one methods described in the literature for using ontologies in the cloud domain are still in use in legacy computing settings. The findings reveal several issues with improving company operations in cloud and multi-cloud settings via the use of ontologies. This paper delineates unsolved difficulties and potential future paths for academics in cloud ontology.

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Published
2025-05-23
DOI
https://doi.org/10.1109/incet64471.2025.11139896
Primary Topic
Cloud Data Security Solutions
Type
article
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article

Security Ontologies in Cloud Computing

Isha Batra, Arun Malik, Swathi Tejah Yalla
Cloud Data Security Solutions
article

Security Ontologies in Cloud Computing

Isha Batra, Arun Malik, Swathi Tejah Yalla
article en

Abstract

Cloud computing (CC) has the potential to augment collaboration, scalability, and accessibility, while providing cost-saving opportunities via enhanced and efficient computing, thus enabling enterprises to maintain focus. Cloud-based security ontologies are organized frameworks that delineate and classify topics pertinent to security in CC settings. They assist in standardizing language and enhance communication, interoperability, and comprehension among diverse stakeholders, including security experts, developers, and organizations. The ontology-based security strategy is one of the security solutions used by relevant parties. Nevertheless, target customers and cloud service providers see it as complex and lacking in security, since the applicable paradigms for various contexts are not clearly defined. Previous research has identified many security ideas that service providers might use, employing several evaluation methodologies. This highlights the growing need for reviewing the literature on Cloud Security Ontology (CSO). This research outlines the current state of the art in cloud computing ontology (CCO) and conducts a comprehensive literature review on the topic. Using the systematic literature review (SLR) approach, we identified 100 papers; 60 were selected based on established criteria, and 25 were assessed to be pertinent to the study. Scholars have shown active interest in four main areas of CC—service description, cloud security (CS), cloud resource management, cloud interoperability, and cloud service discovery—where cloud ontologies have had a significant impact. According to the research, fifteen of the thirty-one methods described in the literature for using ontologies in the cloud domain are still in use in legacy computing settings. The findings reveal several issues with improving company operations in cloud and multi-cloud settings via the use of ontologies. This paper delineates unsolved difficulties and potential future paths for academics in cloud ontology.

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Cloud Data Security Solutions
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