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Brief Announcement: A Consent Management Solution for Enterprises

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Book cover Cyber Security Cryptography and Machine Learning (CSCML 2017)

Abstract

Technologies such as cloud, mobile and the Internet of Things (IoT) are resulting in the collection of more and more personal data. While this sensitive data can be a gold mine for enterprises, it can also constitute a major risk for them. Legislation and privacy norms are becoming stricter when it comes to collecting and processing personal data, requiring the informed consent of individuals to process their data for specific purposes. However, IT solutions that can address these privacy issues are still lacking. We briefly outline our solution and its main component called “Consent Manager”, for the management, automatic enforcement and auditing of user consent. We then describe how the Consent Manager was adopted as part of the European FP7 project COSMOS.

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Notes

  1. 1.

    www.hhs.gov/hipaa/.

  2. 2.

    www.eugdpr.org/.

  3. 3.

    http://iot-cosmos.eu/.

  4. 4.

    http://docs.openstack.org/developer/swift/.

  5. 5.

    http://spark.apache.org/.

Reference

  1. Quinn, E.L.: Privacy and the New Energy Infrastructure, Social Science Research Network (SSRN), February 2009

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Acknowledgments

The research leading to these results was supported by the EU FP7 project COSMOS under grant ICT-609043.

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Correspondence to Shelly Garion .

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© 2017 Springer International Publishing AG

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Goldsteen, A., Garion, S., Nadler, S., Razinkov, N., Moatti, Y., Ta-Shma, P. (2017). Brief Announcement: A Consent Management Solution for Enterprises. In: Dolev, S., Lodha, S. (eds) Cyber Security Cryptography and Machine Learning. CSCML 2017. Lecture Notes in Computer Science(), vol 10332. Springer, Cham. https://doi.org/10.1007/978-3-319-60080-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-60080-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60079-6

  • Online ISBN: 978-3-319-60080-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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