Data Credence in IoR: Vision and Challenges

Zadorozhny, Vladimir and Krishnamurthy, Prashant and Abdelhakim, Mai and Pelechrinis, Konstantinos and Xu, Jiawei (2017) Data Credence in IoR: Vision and Challenges. Open Journal of Internet Of Things (OJIOT), 3 (1). pp. 12-17.

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Abstract

As the Internet of Things permeates every aspect of human life, assessing the credence or integrity of the data generated by "things" becomes a central exercise for making decisions or in auditing events. In this paper, we present a vision of this exercise that includes the notion of data credence, assessing data credence in an efficient manner, and the use of technologies that are on the horizon for the very large scale Internet of Things.

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Details

Item Type:	Article
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Zadorozhny, Vladimir vladimir@sis.pitt.edu VIZ Krishnamurthy, Prashant prashk@pitt.edu PRASHK Abdelhakim, Mai maia@pitt.edu maia Pelechrinis, Konstantinos kpele@pitt.edu KPELE Xu, Jiawei jix20@pitt.edu JIX20
Date:	2017
Date Type:	Publication
Journal or Publication Title:	Open Journal of Internet Of Things (OJIOT)
Volume:	3
Number:	1
Publisher:	RobPub UG
Page Range:	pp. 12-17
Schools and Programs:	School of Information Sciences > Telecommunications
Refereed:	Yes
Official URL:	https://www.ronpub.com/ojiot/OJIOT_2017v3i1n10_Zad...
Article Type:	Research Article
Date Deposited:	03 Jan 2018 16:33
Last Modified:	17 Mar 2020 19:25
URI:	http://d-scholarship.pitt.edu/id/eprint/33142

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