Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

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.

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.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Zadorozhny, Vladimirvladimir@sis.pitt.eduVIZ
Krishnamurthy, Prashantprashk@pitt.eduPRASHK
Abdelhakim, Maimaia@pitt.edumaia
Pelechrinis, Konstantinoskpele@pitt.eduKPELE
Xu, Jiaweijix20@pitt.eduJIX20
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: 03 Jan 2018 16:33
URI: http://d-scholarship.pitt.edu/id/eprint/33142

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item