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CloudProtect - A Cloud-based Software Protection Service

Published: 28 May 2019 Publication History

Abstract

Protecting software from illegal access, intentional modification or reverse engineering is an inherently difficult practical problem involving code obfuscation techniques and real-time cryptographic protection of code. In traditional systems a secure element (the "dongle") is used to protect software. However, this approach suffers from several technical and economical drawbacks such as the dongle being lost or broken.
We present a system that provides such dongles as a cloud service, and more importantly, provides the required cryptographic material to control access to software functionality in real-time.
This system is developed as part of an ongoing nationally funded research project and is now entering a first trial stage with stakeholders from different industrial sectors.

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  1. CloudProtect - A Cloud-based Software Protection Service

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    cover image ACM Conferences
    SACMAT '19: Proceedings of the 24th ACM Symposium on Access Control Models and Technologies
    May 2019
    243 pages
    ISBN:9781450367530
    DOI:10.1145/3322431
    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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    Publication History

    Published: 28 May 2019

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    Author Tags

    1. cloud service
    2. cryptographic access control
    3. software protection

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    • Research-article

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    • German Ministery of Research and Education

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    SACMAT '19
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    SACMAT '19 Paper Acceptance Rate 12 of 52 submissions, 23%;
    Overall Acceptance Rate 177 of 597 submissions, 30%

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