Abstract
In the IoT (Internet of Things), objects in devices are manipulated by subjects. Here, data are exchanged among subjects and objects. Even if subjects manipulate objects according to the CBAC (Capability-Based Access Control) model, the subjects can get data which the subjects are not allowed to get, i.e. illegal information flow and late information flow occur. Hence, the OI (Operation Interruption) and TBOI (Time-Based OI) protocols where operations occurring illegal and late types of information flows are interrupted are implemented. Moreover, capability token selection algorithms are proposed and applied to the protocols to make them more useful. In the protocols, the amount of data kept by entities monotonically increases through manipulating objects. As a result, the more number of operations are interrupted to prevent both types of illegal and late information flows. In order to reduce the number of operations interrupted, an FC (Fog Computing) model in the IoT is considered in this paper. In the FC model, data from devices are processed in fog nodes and then the summarized data are generated. After that, the summarized data are sent to subjects. Here, since the amount of data exchanged among entities decreases, the number of both types of illegal and late information flows also decreases. Hence, the number of operations interrupted is reduced in the protocols.
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This work was supported by Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number JP22K12018.
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Nakamura, S., Enokido, T., Takizawa, M. (2022). Fog Computing Model for the Information Flow Control. In: Barolli, L., Miwa, H., Enokido, T. (eds) Advances in Network-Based Information Systems. NBiS 2022. Lecture Notes in Networks and Systems, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-14314-4_3
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