ArticleSensors (Basel, Switzerland)2019
Internet-of-Things and Information Fusion: Trust Perspective Survey.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Maintaining Cyber Resilience in the Reconfigurable Networks with Immunization and Improved Network Game Methods.Sensors (Basel, Switzerland) · 2024Article
- A Dynamic Trust-Related Attack Detection Model for IoT Devices and Services Based on the Deep Long Short-Term Memory Technique.Sensors (Basel, Switzerland) · 2023Article
- A Comprehensive and Unified Approach to Web Service Trust Evaluation Based on Uncertainty Methodology.Entropy (Basel, Switzerland) · 2022Article
- The Spatiotemporal Data Fusion (STDF) Approach: IoT-Based Data Fusion Using Big Data Analytics.Sensors (Basel, Switzerland) · 2021Article
- Eventual Convergence of the Reputation-Based Algorithm in IoT Sensor Networks.Sensors (Basel, Switzerland) · 2021Article
- Towards Scalable and Efficient Architecture for Modeling Trust in IoT Environments.Sensors (Basel, Switzerland) · 2021Article
- Measuring the Uncertainty in the Original and Negation of Evidence Using Belief Entropy for Conflict Data Fusion.Entropy (Basel, Switzerland) · 2021Article
- In-network generalized trustworthy data collection for event detection in cyber-physical systems.PeerJ. Computer science · 2021Article
- Trust-Based Model for the Assessment of the Uncertainty of Measurements in Hybrid IoT Networks.Sensors (Basel, Switzerland) · 2020Article
- A Survey on Trust Management for WBAN: Investigations and Future Directions.Sensors (Basel, Switzerland) · 2020Review
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The advent of Internet-of-Things (IoT) is creating an ecosystem of smart applications and services enabled by a multitude of sensors. The real value of these IoT smart applications comes from analyzing the information provided by these sensors. Information fusion improves information completeness/quality and, hence, enhances estimation about the state of things. Lack of trust and therefore, malicious activities renders the information fusion process and hence, IoT smart applications unreliable. Behavior-related issues associated with the data sources, such as trustworthiness, honesty, and accuracy, must be addressed before fully utilizing these smart applications. In this article, we argue that behavior trust modeling is indispensable to the success of information fusion and, hence, to smart applications. Unfortunately, the area is still in its infancy and needs further research to enhance information fusion. The aim of this article is to raise the awareness and the need of behavior trust modelling and its effect on information fusion. Moreover, this survey describes IoT architectures for modelling trust as well as classification of current IoT trust models. Finally, we discuss future directions towards trustworthy reliable fusion techniques.
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