Abstract
IoT systems use sensors to collect data from smart environments and manage resources through data analysis. An IoT system deals with many connected devices with different network and hardware constraints in a real-world scenario. An IoT system needs to handle low-latency data analysis, security threats, internal vulnerabilities, and network disconnections, which cause data loss and incorrect decisions. Trustworthiness (also known as dependability) provides various features for an IoT end-to-end data flow, such as resilience, security, availability, reliability, scalability, maintainability, heterogeneity, hardware resources management, fault management policies, and data quality. This paper presents a survey on trustworthiness and dependability in IoT systems and proposes the Trustworthiness for IoT Framework (TW-IoT) to provide trustworthiness at the data level for mist and fog-based IoT systems. The TW-IoT framework provides data trustworthiness to ensure a continuous and uninterrupted operation of IoT data flow. We also discuss challenges and trade-offs related to data trustworthiness in IoT.
Highlights
The Internet of Things (IoT) is a networked system with billions of connected physical devices transmitting and receiving data in a given context application [1,2,3]
The main contributions of this paper are (i) to clarify concepts, characteristics, and gaps about trustworthiness in IoT systems, (ii) to propose the Trustworthiness for IoT Framework (TW-IoT) framework that contains a set of techniques and mechanisms for ensuring trustworthiness in the development of an IoT system based on mist and fog computing, (iii) to propose a data flow for each IoT stage, using the Trustworthiness for IoT Framework (TWIoT) framework, (iv) to expose some trade-offs among trustworthiness mechanisms for the IoT data flow and (v) to present the challenges related to trustworthiness in IoT systems
TW-IOT FRAMEWORK: A MIST-FOG-BASED FRAMEWORK FOR DATA TRUSTWORTHINESS TO THE INTERNET OF THINGS In Section V, we presented the related studies on trustworthiness for IoT
Summary
Franklin Magalhães Ribeiro Junior and Carlos Alberto Kamienski, Senior Member, IEEE.
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