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CCSW 2015: The 7th ACM Cloud Computing Security Workshop

Published: 12 October 2015 Publication History

Abstract

Notwithstanding the latest buzzwords (grid, cloud, utility computing, SaaS, etc.), large-scale computing and cloud-like deployment are the fastest growing computing infrastructures today. How exactly they will look like tomorrow is still for the markets to decide, yet one thing has already been identified: clouds have new, untested deployment, associated adversarial models and vulnerabilities and hence a very different threat landscape. It is essential that our community becomes involved in shaping the future security of cloud computing. The CCSW workshop aims to bring together researchers and practitioners in all security and privacy aspects of cloud-centric and outsourced computing.

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  • (2016)A privacy-preserving solution for compressed storage and selective retrieval of genomic dataGenome Research10.1101/gr.206870.11626:12(1687-1696)Online publication date: 27-Oct-2016

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  1. CCSW 2015: The 7th ACM Cloud Computing Security Workshop

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      cover image ACM Conferences
      CCS '15: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security
      October 2015
      1750 pages
      ISBN:9781450338325
      DOI:10.1145/2810103
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 12 October 2015

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      Author Tags

      1. cloud computing
      2. privacy
      3. security

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      CCS'15
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      Acceptance Rates

      CCS '15 Paper Acceptance Rate 128 of 660 submissions, 19%;
      Overall Acceptance Rate 1,261 of 6,999 submissions, 18%

      Upcoming Conference

      CCS '25

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      Cited By

      View all
      • (2016)A privacy-preserving solution for compressed storage and selective retrieval of genomic dataGenome Research10.1101/gr.206870.11626:12(1687-1696)Online publication date: 27-Oct-2016

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