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In a real-time system, it may negatively affect the data trustworthiness evaluation.
Data trustworthiness is also an area where extensive research is needed.
In order to avoid such invalid inputs, one can insert checks that ensure data trustworthiness.
As provenance is a key factor for data trustworthiness evaluation in WSNs, it needs to be protected.
On the contrary, the summarization technique introduced in this paper is performed locally and data trustworthiness is regulated using rewards.
It is important to notice that in WSNs provenance is useful not only for data trustworthiness assessment, but also for network's troubleshooting.
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This issue of the journal is devoted to recent advances in data security, trustworthiness, and privacy that address relevant challenges.
Future issues of DSE will include additional invited papers and special issues focusing on novel challenging research topics concerning data security, trustworthiness, and privacy.
The collection and combination of assessment data in trustworthiness evaluation of cloud service is challenging, notably because QoS value may be missing in offline evaluation situation due to the time-consuming and costly cloud service invocation.
These guiding principles aim to address potential pitfalls, ensure ethical data management, trustworthiness and credibility of the data, and the integrity of researcher-decision-maker partnerships.
That will cause more challenges like data uncertainty and trustworthiness.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com