Data Credence in IoT: Vision and Challenges
Vladimir Zadorozhny, Prashant V. Krishnamurthy, Mai Abdelhakim, Konstantinos Pelechrinis, Jiawei Xu · D-Scholarship@Pitt (University of Pittsburgh) · 2017
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.