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An Analysis of the Cloud Computing Security Problem (1609.01107v1)

Published 5 Sep 2016 in cs.SE and cs.CR

Abstract: Cloud computing is a new computational paradigm that offers an innovative business model for organizations to adopt IT without upfront investment. Despite the potential gains achieved from the cloud computing, the model security is still questionable which impacts the cloud model adoption. The security problem becomes more complicated under the cloud model as new dimensions have entered into the problem scope related to the model architecture, multi-tenancy, elasticity, and layers dependency stack. In this paper we introduce a detailed analysis of the cloud security problem. We investigated the problem from the cloud architecture perspective, the cloud offered characteristics perspective, the cloud stakeholders' perspective, and the cloud service delivery models perspective. Based on this analysis we derive a detailed specification of the cloud security problem and key features that should be covered by any proposed security solution.

Citations (436)

Summary

  • The paper identifies key cloud security challenges by highlighting multi-tenancy risks and the lack of physical isolation.
  • The paper analyzes stakeholder perspectives, demonstrating how differing controls among providers, consumers, and service vendors complicate security management.
  • The paper advocates for adaptive security models that integrate layered defenses and balance performance with robust protection.

An Analysis of the Cloud Computing Security Problem

The paper "An Analysis of the Cloud Computing Security Problem" by Mohamed Al Morsy, John Grundy, and Ingo Müller offers a comprehensive examination of the various security challenges inherent in the adoption and implementation of cloud computing. The authors deliver a multi-faceted analysis that spans from architectural issues to stakeholder concerns, ultimately providing a detailed specification of the problem and suggesting key features that any proposed security solutions should address.

Key Contributions

The authors segment their analysis into several perspectives:

  1. Cloud Architecture and Security Implications: The examination of cloud architecture outlines how multi-tenancy and elasticity contribute to complex security challenges. The authors emphasize the necessity for isolation among tenants to ensure confidentiality and integrity, highlighting how the lack of physical boundaries in the cloud model creates vulnerabilities not present in traditional IT setups.
  2. Stakeholder Perspectives: The paper identifies concerns from multiple stakeholders, including cloud consumers, providers, and service providers. The loss of control and the need for robust SLAs are critical discussion points, notably the difficulty in ensuring consistent security management across various stakeholders with differing capabilities and expectations.
  3. Cloud Service Delivery Models: The paper discusses the unique security implications associated with IaaS, PaaS, and SaaS. Each model presents distinct issues that range from VM security to API protection, indicating the necessity for model-specific security strategies.
  4. Intrinsic Dependencies and Layered Environment: Cloud services are structured in deep stacks of interdependent layers, complicating the security landscape. The security of an upper layer hinges on the lower ones, creating cascading vulnerabilities if any layer is compromised.

Numerical Insights and Claims

The paper provides some numerical insights, referencing a Gartner survey predicting the cloud market value growth from USD 58.6 billion in 2009 to USD 148 billion in 2014. This growth trajectory underscores the increasing significance of the cloud, juxtaposed against the escalating concern over security vulnerabilities that may impede adoption.

Implications and Future Directions

The theoretical and practical implications of this research are significant. The authors call for a unified security control management system that can adapt dynamically to the cloud's elastic nature. They emphasize the creation of adaptive security models and highlight the need for security components to be embedded in the cloud architecture—ensuring that any access within the cloud environment is subject to stringent security checks.

The future developments in AI and cloud computing solutions are likely to revolve around several key areas as highlighted by the authors:

  • Federation and Integration: The need for federated security across multi-cloud environments suggests a future where standardized protocols enable seamless security integrations between diverse cloud platforms.
  • Adaptive Security Models: As cloud environments continue to evolve, there will be a push for adaptive security mechanisms that dynamically respond to changing threat landscapes and stakeholder requirements.
  • Security-Performance Trade-offs: Efficient management of the security-performance balance will be crucial, as high-security implementations can impact service performance in cloud environments.

Conclusion

This paper offers a granular exploration of the security issues in cloud computing, presenting a structured breakdown of individual components and their implications. The authors provide a valuable framework for understanding the complexity of cloud security, stressing the importance of adaptive and integrated security solutions. Their insights lay a foundation for future research and development in creating robust cloud computing environments that align with evolving security standards and market needs.