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SHIFT: a Security and Home Integration Framework for IoT

Müller, Katharina O E; Schumm, Daria; Wallace, Elliott; Rodrigues, Bruno; Stiller, Burkhard (2024). SHIFT: a Security and Home Integration Framework for IoT. In: NOMS 2024-2024 IEEE Network Operations and Management Symposium, Seoul, Korea, Republic of, 6 May 2024 - 10 May 2024. Institute of Electrical and Electronics Engineers, 1-7.

Abstract

With the growing popularity of Internet-of-Things (IoT) and the smart home market, third party data stores and remote cloud environments, security and privacy of personal data is the central problem. Since the existing Privacy Enhancing Technologies (PET) have yet to provide a lightweight solution to safeguard privacy within smart homes, this paper presents the Security and Home Integration Framework for IoT (SHIFT). SHIFT leverages an open-source architecture to integrate existing tools, including home assistants and network monitors, into a unified framework designed to monitor and control smart home devices through security policies. The proof-ofconcept prototype for monitoring and controlling smart home device communications using user-defined policies successfully monitors device activity, processes data, and enforces user policies in a live smart home environment. SHIFT gives users control over their devices and data while balancing convenience with privacy and security.

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Artificial Intelligence
Physical Sciences > Computer Networks and Communications
Social Sciences & Humanities > Information Systems and Management
Physical Sciences > Modeling and Simulation
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:10 May 2024
Deposited On:04 Oct 2024 09:20
Last Modified:05 Oct 2024 20:00
Publisher:Institute of Electrical and Electronics Engineers
Series Name:IEEE/IFIP Network Operations and Management Symposium (NOMS)
ISSN:1542-1201
ISBN:979-8-3503-2793-9
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/noms59830.2024.10575751

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