Toward a Sensor Trustworthiness Measure for Grid-Connected IoT-Enabled Smart Cities

Culler, Megan; Davis, Katherine

doi:10.1109/greentech.2018.00038

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…Some authors limit the trustworthiness concept as dealing with system security only [9], [41]. However, throughout this paper, trustworthiness and dependability are equivalent concepts [11], [12].…”

Section: A Trustworthiness and Dependabilitymentioning

confidence: 98%

“…Among research on IoT dependability, we found five studies that present mathematical approaches to measuring system reliability and availability [79][80][81][82][83]. In contrast, two others propose a calculus to estimate a confidence score to sensors [41], [84], and users [85]. We also found a proposal for an optimization approach for some dependability characteristics [86] and a theoretical approach based on Markov models to deal with vulnerabilities in a healthcare system [87].…”

Section: ) Mathematical Approachmentioning

confidence: 99%

“…The veracity mechanism is responsible for identifies untrusted entities using a trust score. IoT designers can use algorithms to obtain this score [41], [51]. They can form the entity trust score by identifying the number of untrusted packets and their origin entity.…”

Section: ) Entity Veracitymentioning

confidence: 99%

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A Survey on Trustworthiness for the Internet of Things

Ribeiro

Kamienski

2021

IEEE Access

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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.

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