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Selected Cloud Security Patterns to Improve End User Security and Privacy in Public Clouds

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Privacy Technologies and Policy (APF 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9857))

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Abstract

Cloud computing has the potential to dramatically reduce the cost and complexity of provisioning information technology resources for end users. However, to make it secure and privacy-preserving for end users, additional technical safeguards must be added—the application of strong cryptography is such a safeguard. The Horizon 2020 project PRISMACLOUD surveys and advances several cryptographic protocols and primitives usable to cryptographically address common cloud security and privacy issues. The cryptographic functionality will entirely be encapsulated in five configurable tools, from which cloud services providing end-to-end security can be constructed. This approach relieves cloud service designers from dealing with the complex and error prone correct application of cryptographic functionality and shall spark the emergence of a multitude of privacy and security preserving cloud applications for the benefit of the end-users—who will no longer have to rely on contractual and legal instruments for ensuring, that privacy and security is enforced by cloud providers on their behalf. In order to support the privacy-by-design development of the tools, we developed several cloud security patterns for common critical situations in the cloud—in the three fields of data storage in the cloud, user privacy protection and data minimisation, and authentication of stored and processed data.

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Notes

  1. 1.

    The authors’ work is supported by the European Union Horizon 2020 research activity n\(\circ \) 644962 Prismacloud: “Privacy and security maintaining services in the cloud” [17]; duration 2/2015–7/2018; 16 partners; https://www.prismacloud.eu.

  2. 2.

    It is now, that cloud providers have started to host their data centers in multiple locations world-wide, including Asia, South America, and countries of the European Union (see e.g. Amazon: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html). Nevertheless, the headquarters and main installations of these businesses are certainly under U.S. American jurisdiction and it is at least possible that data, in whichever form and state of aggregation, might be consolidated with data residing in the U.S.A.

  3. 3.

    The other patterns can be studied in the public Prismacloud deliverable D2.2 “Domain independent generic security models”, available on the project web site www.prismacloud.eu.

  4. 4.

    The entire book, 1218 pages, can be downloaded as pdf from archive.org/details/ APatternLanguage.

  5. 5.

    https://secure.edps.europa.eu/EDPSWEB/edps/EDPS/IPEN.

  6. 6.

    ibid.

  7. 7.

    www.munawarhafiz.com/securitypatterncatalog/index.php. Munawar Hafiz is also author of several papers on security patterns, e.g. [15], which presents “4 design patterns that can aid the decision making process for the designers of privacy protecting systems”.

  8. 8.

    www.pripareproject.eu.

  9. 9.

    For a more detailed description of all cloud security patterns we want to direct the attention to Prismacloud deliverable D2.2 “Domain independent generic security models”, available on the project web site www.prismacloud.eu.

  10. 10.

    Whenever the signature mathematically still depends on some removed data, like in hash trees, they cryptographically do not offer a sophisticated level of privacy [3].

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Länger, T., Pöhls, H.C., Ghernaouti, S. (2016). Selected Cloud Security Patterns to Improve End User Security and Privacy in Public Clouds. In: Schiffner, S., Serna, J., Ikonomou, D., Rannenberg, K. (eds) Privacy Technologies and Policy. APF 2016. Lecture Notes in Computer Science(), vol 9857. Springer, Cham. https://doi.org/10.1007/978-3-319-44760-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-44760-5_8

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