Next Article in Journal
Advances and Opportunities in Passive Wake-Up Radios with Wireless Energy Harvesting for the Internet of Things Applications
Previous Article in Journal
High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks
Previous Article in Special Issue
Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network
Open AccessArticle

CATSWoTS: Context Aware Trustworthy Social Web of Things System

Department of Computer Software Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
Author to whom correspondence should be addressed.
Sensors 2019, 19(14), 3076;
Received: 30 April 2019 / Revised: 11 June 2019 / Accepted: 17 June 2019 / Published: 12 July 2019
(This article belongs to the Special Issue Security and Privacy Techniques in IoT Environment)
The inevitable revolution of the Internet of Things (IoT) and its benefits can be witnessed everywhere. Two major issues related to IoT are the interoperability and the identification of trustworthy things. The proposed Context-Aware Trustworthy Social Web of Things System (CATSWoTS) addresses the interoperability issue by incorporating web technologies including Service Oriented Architecture where each thing plays the role of a service provider as well as a role of service consumer. The aspect of social web helps in getting recommendations from social relations. It was identified that the context dependency of trust along with Quality of Service (QoS) criteria, for identifying and recommending trustworthy Web of Things (WoT), require more attention. For this purpose, the parameters of context awareness and the constraints of QoS are considered. The research focuses on the idea of a user-centric system where the profiles of each thing (level of trustworthiness) are being maintained at a centralized level and at a distributed level as well. The CATSWoTS evaluates service providers based on the mentioned parameters and the constraints and then identifies a suitable service provider. For this, a rule-based collaborative filtering approach is used. The efficacy of CATSWoTS is evaluated with a specifically designed environment using a real QoS data set. The results showed that the proposed novel technique fills the gap present in the state of the art. It performed well by dynamically identifying and recommending trustworthy services as per the requirements of a service seeker. View Full-Text
Keywords: context-aware; Internet of Things; IOT; quality of service; SOA; trust management; WoT context-aware; Internet of Things; IOT; quality of service; SOA; trust management; WoT
Show Figures

Figure 1

MDPI and ACS Style

Javaid, S.; Afzal, H.; Arif, F.; Iltaf, N.; Abbas, H.; Iqbal, W. CATSWoTS: Context Aware Trustworthy Social Web of Things System. Sensors 2019, 19, 3076.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

Back to TopTop