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Utilizing Social Networks Data for Trust Management in a Social Internet of Things Network

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dc.contributor.author Narang, Nishit
dc.date.accessioned 2023-01-24T07:17:04Z
dc.date.available 2023-01-24T07:17:04Z
dc.date.issued 2018
dc.identifier.uri https://dl.acm.org/doi/abs/10.1145/3241539.3267744
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8680
dc.description.abstract Social Internet of Things (SIoT), an amalgamation of Social Networking concepts to the Internet of Things (IoT), is a strong architectural alternative for IoT solutions. A lot of research work in SIoT has proposed the use of social networking data for community and trust management in SIoT networks. While it seems like an interesting choice, it is important to analyze the effectiveness of social networking data for application to SIoT. In this paper, we analyze the accuracy of using tie information from the Facebook Friend Graph to mimic real-world SIoT network ties. We also discuss a method for ranking the strength of ties in a SIoT network by analyzing the structure of the Facebook Friend Graph. A similar analysis can be performed on data available from other Social Networking platforms, like Twitter, LinkedIn etc. en_US
dc.language.iso en en_US
dc.publisher ACM Digital Library en_US
dc.subject Computer Science en_US
dc.subject Social IoT (SIoT) en_US
dc.subject Twitter en_US
dc.subject LinkedIn en_US
dc.title Utilizing Social Networks Data for Trust Management in a Social Internet of Things Network en_US
dc.type Article en_US


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