Context-driven Policies Enforcement for Edge-based IoT Data Sharing-as-a-Service

Huu-Ha Nguyen, Phu Phung, Phu Nguyen, Linh Truong

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)
159 Downloads (Pure)

Abstract

Sharing real-time data originating from connected devices is crucial to real-world intelligent Internet of Things (IoT) applications, i.e., based on artificial intelligence/machine learning (AI/ML). Such IoT data sharing involves multiple parties for different purposes and is usually based on data contracts that might depend on the dynamic change of IoT data variety and velocity. It is still an open challenge to support multiple parties (aka tenants) with these dynamic contracts based on the data value for their specific contextual purposes.This work addresses these challenges by introducing a novel dynamic context-based policy enforcement framework to support IoT data sharing (on-Edge) based on dynamic contracts. Our enforcement framework allows IoT Data Hub owners to define extensible rules and metrics to govern the tenants in accessing the shared data on the Edge based on policies defined with static and dynamic contexts. We have developed a proof-of-concept prototype for sharing sensitive data such as surveillance camera videos to illustrate our proposed framework. The experimental results demonstrated that our framework could soundly and timely enforce context-based policies at runtime with moderate overhead. Moreover, the context and policy changes are correctly reflected in the system in nearly real-time.
Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Services Computing, SCC 2022
EditorsClaudio Agostino Ardagna, Hongyi Bian, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Schahram Dustdar, Jordi Marco, Munindar Singh, Ernest Teniente, Robert Ward, Zhongjie Wang, Fatos Xhafa, Jia Zhang
PublisherIEEE
Pages221-230
Number of pages10
ISBN (Electronic)978-1-6654-8146-5
ISBN (Print)978-1-6654-8147-2
DOIs
Publication statusPublished - 24 Aug 2022
MoE publication typeA4 Conference publication
EventIEEE International Conference on Services Computing - Barcelona, Spain
Duration: 11 Jul 202215 Jul 2022

Publication series

NameProceedings of the IEEE International Conference on Services Computing
ISSN (Print)2474-8137
ISSN (Electronic)2474-2473

Conference

ConferenceIEEE International Conference on Services Computing
Abbreviated titleSCC
Country/TerritorySpain
CityBarcelona
Period11/07/202215/07/2022

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