IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy Compliance
| dc.contributor.author | Echenim, Kelvin | |
| dc.contributor.author | Joshi, Karuna | |
| dc.date.accessioned | 2023-12-15T15:21:48Z | |
| dc.date.available | 2023-12-15T15:21:48Z | |
| dc.date.issued | 2023-12-15 | |
| dc.description | IEEE Big Data 2023, 3rd Workshop on Knowledge Graphs and Big Data | |
| dc.description.abstract | The proliferation of the Internet of Things (IoT) has led to an exponential increase in data generation, especially from wearable IoT devices. While this data influx offers unparalleled insights and connectivity, it also brings significant privacy and security challenges. Existing regulatory frameworks like the United States (US) National Institute of Standards and Technology Interagency or Internal Report (NISTIR) 8228, the US Health Insurance Portability and Accountability Act (HIPAA), and the European Union (EU) General Data Protection Regulation (GDPR) aim to address these challenges but often operate in isolation, making their compliance in the vast IoT ecosystem inconsistent. This paper presents the IoT-Reg ontology, a holistic semantic framework that amalgamates these regulations, offering a stratified approach based on the IoT data lifecycle stages and providing a comprehensive yet granular approach to IoT data handling practices. The IoT-Reg ontology aims to transform the IoT domain into a realm where regulatory controls are seamlessly integrated system components by emphasizing risk management, compliance, and the pivotal role of manufacturers’ privacy policies, ensuring consistent adherence, enhancing user trust, and promoting a privacy-centric IoT environment. We include the results of validating this framework against risk mitigation for Wearable IoT devices. | |
| dc.description.sponsorship | This research was partially supported by the NSF award 1747724, Phase I IUCRC UMBC: Center for Accelerated Real time Analytics (CARTA). | |
| dc.description.uri | https://ebiquity.umbc.edu/paper/html/id/1127/IoT-Reg-A-Comprehensive-Knowledge-Graph-for-Real-Time-IoT-Data-Privacy-Compliance | |
| dc.format.extent | 10 pages | |
| dc.genre | conference papers and proceedings | |
| dc.genre | preprints | |
| dc.identifier.uri | http://hdl.handle.net/11603/31110 | |
| dc.language.iso | en_US | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Information Systems Department Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Center for Accelerated Real Time Analysis | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.subject | UMBC Ebiquity Research Group | |
| dc.title | IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy Compliance | |
| dc.type | Text | |
| dcterms.creator | https://orcid.org/0000-0002-6354-1686 |