Monitoring Trust Status During Fog Level Data Analysis of the Sesnor Network
- Diachok, R; Klym, H
- 2022
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【Author】 Diachok, Roman; Klym, Halyna
【Source】2022 12TH INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS, SERVICES AND TECHNOLOGIES (DESSERT)
【影响因子】
【Abstract】This paper proposes an optimized Fog-based trust approach prevent third-party interference by establishing a trust The relationship between sensors and cloud service providers in a multisensor system. Behavioral trust between nodes is established at the sensor network level. In the fog layer node and object data. The latter's more in-depth data analysis allows us to monitor the trust state of the entire network, detect data attacks, and recover from misidentified nodes. Smokers can be set as trusted third parties. Experimental results show that the proposed trust mechanism is has the advantages of reducing power consumption, ensuring the trust status of edge nodes and the entire network, detecting hidden data attacks, and recovering nodes.
【Keywords】artificial intelligence (AI); sensor platforms; cyber physical system; machine learning (ML); source node; sensor network (SN)
【发表时间】2022
【收录时间】2023-05-05
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