Paper Info
Title
Context Based Trust Formation Using Direct User-Experience in the Internet of Things(IoT)
Abstract
The Internet of Things (IoT) is converting the real world into cyber network. Security becomes a challenging task in IoT. For that reason, trust is used as an essential security measure in IoT devices. Trust Management System (TMS) is designed to mitigate the risks of uncertainty between the communicating parties. Direct interactions with servers based on the user experiences in various contexts can be considered as a solution for trust formation. The aim of this paper is to develop a context based trust management system that uses direct experiences of users while being connected with servers in various contexts. The technique is based on the Naïve Bayesian classification method. The context based direct user experiences are filtered, classified and then used as a trust formation procedure to formulate and update trust with the passage of time. The proposed protocol has been evaluated using web services datasets and results show that trust formation considering contextual information provides a promising solution.
Year
DOI
Venue
2019
10.1109/CloudCom.2019.00072
2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Keywords
Field
DocType
trust, IoT, Bayesian, direct interactions, trust model
User experience design,World Wide Web,Naive Bayes classifier,Computer science,Context based,Internet of Things,Server,Web service,Management system,Bayesian probability,Distributed computing
Conference
ISSN
ISBN
Citations 
2330-2194
978-1-7281-5012-3
0
PageRank 
References 
Authors
0.34
22
3
Name
Order
Citations
PageRank
Ayesha Altaf1152.77
Haider Abbas239143.88
Faiza Iqbal301.35