Toward GDPR Compliance in IoT Systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 12019 LNCS, Page: 130-141
2020
- 8Citations
- 11Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
The General Data Protection Regulation (GDPR) allow citizens to control their data. For that, they must define and update their security data policies that are generally more sophisticated and more dynamic than classical access control policies managed by system administrators. Consequently, GDPR implementation in modern scalable and dynamic systems like IoT is still a challenge. We propose a security model for data privacy and an original solution where a GDPR consent manager is integrated using Complex Event Processing (CEP) system and following the edge computing. We show, through a smart home IoT system, the efficiency of our approach in terms of flexibility and scalability.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85084855863&origin=inward; http://dx.doi.org/10.1007/978-3-030-45989-5_11; http://link.springer.com/10.1007/978-3-030-45989-5_11; http://link.springer.com/content/pdf/10.1007/978-3-030-45989-5_11; https://dx.doi.org/10.1007/978-3-030-45989-5_11; https://link.springer.com/chapter/10.1007/978-3-030-45989-5_11
Springer Science and Business Media LLC
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