Models of threats to cloud services
DOI:
https://doi.org/10.30837/rt.2023.1.212.04Keywords:
cloud computing, threats of cloud services, modeling systemsAbstract
Cloud services have become popular due to their advantages over traditional computing. The cloud provides remote access to software, hardware, and other services. This has allowed companies to be more productive and enabled remote work. Cloud services have fewer hardware and infrastructure requirements, which reduces the cost of maintaining and supporting information technology. The future success of organizations will depend, not least, on the extent to which they implement cloud computing in their operations. According to forecasts, spending on cloud IT technologies will continue to grow and in 2025 will exceed spending on traditional IT technologies. Security of cloud services is becoming a critical issue as more and more companies complete their digital transformation. Despite the many benefits, cloud services also face their own security threats and challenges. Since cloud services store and process a significant amount of sensitive information, a cloud breach can lead to data leaks that can hinder business development and cause significant damage to a company's reputation. There are risks associated with the unavailability of cloud services in case of technical problems and dependence on external providers. Therefore, companies should carefully assess potential threats and take appropriate measures to protect their data and business in general when using cloud services. There are many methods to help determine how prepared your organization is for the growing number of threats. Threat modeling is one of the methods for predicting and preparing for possible threats. Using modeling frameworks allows you to allocate resources and plan possible actions during an attack. There are many modeling frameworks available, but it is important to remember that these frameworks have their advantages and disadvantages, so the choice depends on the context and needs of a particular system. Analyzing, evaluating, and comparing existing methods for modeling and protecting against threats in cloud services is the main objective of this article.
References
Cloud Computing Statistics (2023). [Електронний ресурс]. Режим доступу: https://parachute.cloud/cloud-computing-statistics/.
Cloud Deployment Models. [Електронний ресурс]. Режим доступу: https://www.geeksforgeeks.org/cloud-deployment-models/.
What are Cloud Security Threats? [Електронний ресурс]. Режим доступу: https://www.vectra.ai/learning/cloud-security-threats.
Threat Modeling 12 Available Methods. [Електронний ресурс]. Режим доступу: https://insights.sei.cmu.edu/blog/threat-modeling-12-available-methods/.
IaaS vs. PaaS vs. SaaS: Cloud Service Model Overview [Електронний ресурс]. Режим доступу: www.intel.com/content/www/us/en/cloud-computing/as-a-service.
What is PASTA Threat Modeling?. [Електронний ресурс]. Режим доступу:https://versprite.com/blog/what-is-pasta-threat-modeling/.
Essential Cloud Computing Characteristics. [Електронний ресурс]. Режим доступу: https://www.synopsys.com/cloud/insights/essential-cloud-computing-characteristics.html.
Cloud Computing vs Traditional Computing. [Електронний ресурс]. Режим доступу: https://www.simplilearn.com/cloud-computing-vs-traditional-computing-article.
Threat Modeling with DREAD. [Електронний ресурс]. Режим доступу: https://cyral.com/glossary/threat-modeling-with-dread/.
STRIDE Threat Modeling: What You Need to Know. [Електронний ресурс]. Режим доступу: https://www.softwaresecured.com/stride-threat-modeling/.
Cloud Infrastructure Security: 7 Best Practices to Secure Your Sensitive Data. [Електронний ресурс]. Режим доступу: https://www.techtarget.com/searchsecurity/definition/cloud-security.
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).