Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-Use Trust in Crowdsourced IoT Services   We introduce the concept of adaptive trust in crowdsourced IoT services. It
is a customized fine-grained trust tailored for specific IoT consumers. Usage
patterns of IoT consumers are exploited to provide an accurate trust value for
service providers. A novel adaptive trust management framework is proposed to
assess the dynamic trust of IoT services. The framework leverages a novel
detection algorithm to obtain trust indicators that are likely to influence the
trust level of a specific IoT service type. Detected trust indicators are then
used to build service-to-indicator model to evaluate a service's trust at each
indicator. Similarly, a usage-to-indicator model is built to obtain the
importance of each trust indicator for a particular usage scenario. The
per-indicator trust and the importance of each trust indicator are utilized to
obtain an overall value of a given service for a specific consumer. We conduct
a set of experiments on a real dataset to show the effectiveness of the
proposed framework.

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The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
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The categories of this paper are: eess
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
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The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
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The categories of this paper are: acc-phys