TY  - CONF
ID  - scholars8530
N2  - Data Trustworthiness in Internet of Things (IoT) is a significant concern as the decision-making process, and actionable insights rely entirely on the data. False or misleading data could lead to wrong decisions with severe consequences. Data trustworthiness is the possibility to ascertain the correctness of the data provided by the data source. Current approaches for measuring data trustworthiness are generally meant for web and traditional sensor network. These methods are not applicable for IoT data since IoT has inherently different nature than other paradigms or domains. However, there are limited extant works on the data trustworthiness for IoT sensor data. Therefore, in this paper, we review the current developments in this area. A taxonomy of Data Trustworthiness for IoT Sensor Data is also presented according to the identified features from the extant works. Moreover, based on the observations, future directions are also proposed. © 2017 IEEE.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047436649&doi=10.1109%2fICBDAA.2017.8284102&partnerID=40&md5=8f45dc3627632aa78af9ea3df0222e47
VL  - 2018-J
EP  - 30
PB  - Institute of Electrical and Electronics Engineers Inc.
A1  - Haron, N.
A1  - Jaafar, J.
A1  - Aziz, I.A.
A1  - Hassan, M.H.
A1  - Shapiai, M.I.
SP  - 25
SN  - 9781538607909
KW  - Decision making; Sensor networks; Taxonomies
KW  -  'current; Data trustworthiness; Data-source; Decision-making process; Internet of thing data; Measuring data; Sensors data; Sensors network
KW  -  Internet of things
TI  - Data trustworthiness in Internet of Things: A taxonomy and future directions
Y1  - 2017///
N1  - cited By 14; Conference of 2017 IEEE Conference on Big Data and Analytics, ICBDA 2017 ; Conference Date: 16 November 2017 Through 17 November 2017; Conference Code:134594
AV  - none
ER  -