 Dynamic and semantic-aware access-control model for privacy preservation in multiple data center environmentsAiguo Chen, Guoming Lu, Hanwen Xing, Yuan Xie and Shunwei Yuan International Journal of Distributed Sensor Networks, 2020, vol. 16, issue 5, 1550147720921778 Abstract: With the rapid development of intelligent perception and other data acquisition technologies in the Internet of things, large-scale scientific workflows have been widely used in geographically distributed multiple data centers to realize high performance in business model construction and computational processing. However, insider threats pose very significant privacy and security risks to systems. Traditional access-control models can no longer satisfy the reasonable authorization of resources in these new cross-domain environments. Therefore, a dynamic and semantic-aware access-control model is proposed for privacy preservation in multiple data center environments, which implements a semantic dynamic authorization strategy based on an anomaly assessment of users’ behavior sequences. The experimental results demonstrate that this dynamic and semantic-aware access-control model is highly dynamic and flexible and can improve the security of the application system. Keywords: Privacy preserving; access control; anomaly assessment; behavior sequence; dynamic authorization; scientific workflow (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:16:y:2020:i:5:p:1550147720921778 Access Statistics for this article More articles in International Journal of Distributed Sensor Networks |
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