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- W4320031251 abstract "The use of context-aware environmental monitoring systems is growing in several areas. However, the tactical edge networks present an extremely challenging and heterogeneous networking environment due to the complexity of the dynamic topologies of the battlefields. Installed devices in battlefields can be used to guarantee system performance and interoperability in such continuously varying network conditions. This work presented a Dynamic Context-Aware Security model in a Tactical Network that uses the data collected by the IoT sensors to provide automated policies for the dissemination of network state information. Moreover, our model leverages Attribute-Based Encryption (ABE) to ensure data security, hence secured communication. The proposed approach is validated through experiments in real-time. The achieved results show the effectiveness of our model in reducing the communication overhead associated with varying network conditions." @default.
- W4320031251 created "2023-02-12" @default.
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- W4320031251 date "2022-11-28" @default.
- W4320031251 modified "2023-09-27" @default.
- W4320031251 title "Dynamic Context-Aware Security in a Tactical Network Using Attribute-Based Encryption" @default.
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- W4320031251 doi "https://doi.org/10.1109/milcom55135.2022.10017647" @default.
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