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Secure benchmarking in the cloud

Authors:

Joerg JoossAuthors Info & Claims

SACMAT '13: Proceedings of the 18th ACM symposium on Access control models and technologies

Pages 197 - 200

https://doi.org/10.1145/2462410.2462430

Published: 12 June 2013 Publication History

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Abstract

Benchmarking is the comparison of one company's key performance indicators (KPI) to the statistics of the same KPIs of its peer group. A KPI is a statistical quantity measuring the performance of a business process. Privacy by means of controlling access to data is of the utmost importance in benchmarking. Companies are reluctant to share their business performance data due to the risk of losing a competitive advantage or being embarrassed. We present a cryptographic protocol for securely computing benchmarks between multiple parties and describe the technical aspects of a proof of concept implementation of SAP's research prototype Global Benchmarking Service (GBS) on Microsoft's cloud technology Windows Azure.

References

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Florian Kerschbaum, Practical Privacy-Preserving Benchmarking, Proceedings of the IFIP TC-11 23rd International Information Security Conference, pp. 17--31, 2008.

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Florian Kerschbaum, Daniel Dahlmeier, Axel Schröpfer, Debmalya Biswas. On the practical importance of communication complexity for secure multi-party computation protocols. Proceedings of the ACM Symposium on Applied Computing, pp. 2008--2015, 2009.

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Brad Calder, Tony Wang, Shane Mainali, and Jason Wu, Windows Azure Blob, May 2009 http://go.microsoft.com/fwlink/~LinkId=153400&clcid=0x409

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David Chappell, Introducing Windows Azure, October 2010, http://go.microsoft.com/~linkid=9682907&clcid=0x409

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George Huey, Scaling Out with SQL Azure Federation, February 2012, http://msdn.microsoft.com/en-us/magazine/hh848258.aspx

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Cited By

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Siabi BBerenjkoub MSusilo W(2019)Optimally Efficient Secure Scalar Product With Applications in Cloud ComputingIEEE Access10.1109/ACCESS.2019.29082307(42798-42815)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2908230
David BDowsley Rvan de Graaf JMarques DNascimento APinto A(2016)Unconditionally Secure, Universally Composable Privacy Preserving Linear AlgebraIEEE Transactions on Information Forensics and Security10.1109/TIFS.2015.247678311:1(59-73)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1109/TIFS.2015.2476783
Zhu YZhu H(2013)Formal verification of mandatory access control for privacy cloudProceedings of 2013 3rd International Conference on Computer Science and Network Technology10.1109/ICCSNT.2013.6967116(297-300)Online publication date: Oct-2013
https://doi.org/10.1109/ICCSNT.2013.6967116

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Secure benchmarking in the cloud

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SACMAT '13: Proceedings of the 18th ACM symposium on Access control models and technologies

June 2013

278 pages

ISBN:9781450319508

DOI:10.1145/2462410

General Chair:
Mauro Conti
University of Padua, Italy
,
Program Chairs:
Jaideep Vaidya
Rutgers University, USA
,
Andreas Schaad
SAP AG, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 12 June 2013

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SACMAT '13: 18th ACM Symposium on Access Control Models and Technologies

June 12 - 14, 2013

Amsterdam, The Netherlands

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SACMAT '13 Paper Acceptance Rate 19 of 62 submissions, 31%;

Overall Acceptance Rate 177 of 597 submissions, 30%

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Siabi BBerenjkoub MSusilo W(2019)Optimally Efficient Secure Scalar Product With Applications in Cloud ComputingIEEE Access10.1109/ACCESS.2019.29082307(42798-42815)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2908230
David BDowsley Rvan de Graaf JMarques DNascimento APinto A(2016)Unconditionally Secure, Universally Composable Privacy Preserving Linear AlgebraIEEE Transactions on Information Forensics and Security10.1109/TIFS.2015.247678311:1(59-73)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1109/TIFS.2015.2476783
Zhu YZhu H(2013)Formal verification of mandatory access control for privacy cloudProceedings of 2013 3rd International Conference on Computer Science and Network Technology10.1109/ICCSNT.2013.6967116(297-300)Online publication date: Oct-2013
https://doi.org/10.1109/ICCSNT.2013.6967116

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Application-specific benchmarking

Cloud ERP Systems for Small-and-Medium Enterprises: A Case Study in the Food Industry

IaaS cloud benchmarking: approaches, challenges, and experience

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