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Enforcing overarching policies such as safety norms and energy restrictions becomes critical as IoT scales and integrates into large systems. These policies should be applied preemptively and capable of adapting to system changes. Traditional IoT systems, reliant on fixed device identities, limit reliability, scalability, and resilience. Thus, we propose Identity-Independent IoT (I3oT), centered on adopting flexible descriptors to enforce policies. I3oT introduces a separate management plane on top of the standard operational workflow, thereby enhancing safety in scalable and integrated IoT systems.
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Advancing IoT System Dependability: A Deep Dive into Management and Operation Plane Separation
We propose to enhance the dependability of large-scale IoT systems by separating the management and operation plane. We innovate the management plane to enforce overarching policies, such as safety norms, operation standards, and energy restrictions, and integrate multi-faceted management entities, including regulatory agencies and manufacturers, while the current IoT operational workflow remains unchanged. Central to the management plane is a meticulously designed, identity-independent policy framework that employs flexible descriptors rather than fixed identifiers, allowing for proactive deployment of overarching policies with adaptability to system changes. Our evaluation across three datasets indicates that the proposed framework can achieve near-optimal expressiveness and dependable policy enforcement.
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- Award ID(s):
- 1932418
- PAR ID:
- 10664110
- Publisher / Repository:
- IEEE
- Date Published:
- Page Range / eLocation ID:
- 1 to 6
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript
- Conference Paper:
- https://doi.org/10.1109/WF-IoT64238.2025.11270615
