Considerations regarding the dependability of Internet of Things

Vari-Kakas, Stefan; Poszet, Otto; Alexandrina, Pater Mirela

doi:10.1109/emes.2017.7980401

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…Dependability attributes comprise safety, reliability, maintainability, and security properties (availability, confidentiality, and integrity) [16,28,47,48]. Although the IoT has remained a promising networking paradigm, it has to confront several dependability issues, due to a large number of different interconnected objects [49]. While this survey intends to dwell on only IoT dependability's safety and security attributes, some of the previous research on the IoT dependability have been covered in [14,16].…”

Section: Dependability Of the Iot Systemmentioning

confidence: 99%

An Overview of Safety and Security Analysis Frameworks for the Internet of Things

et al. 2023

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The rapid progress of the Internet of Things (IoT) has continued to offer humanity numerous benefits, including many security and safety-critical applications. However, unlocking the full potential of IoT applications, especially in high-consequence domains, requires the assurance that IoT devices will not constitute risk hazards to the users or the environment. To design safe, secure, and reliable IoT systems, numerous frameworks have been proposed to analyse the safety and security, among other properties. This paper reviews some of the prominent classical and model-based system engineering (MBSE) approaches for IoT systems’ safety and security analysis. The review established that most analysis frameworks are based on classical manual approaches, which independently evaluate the two properties. The manual frameworks tend to inherit the natural limitations of informal system modelling, such as human error, a cumbersome processes, time consumption, and a lack of support for reusability. Model-based approaches have been incorporated into the safety and security analysis process to simplify the analysis process and improve the system design’s efficiency and manageability. Conversely, the existing MBSE safety and security analysis approaches in the IoT environment are still in their infancy. The limited number of proposed MBSE approaches have only considered limited and simple scenarios, which are yet to adequately evaluate the complex interactions between the two properties in the IoT domain. The findings of this survey are that the existing methods have not adequately addressed the analysis of safety/security interdependencies, detailed cyber security quantification analysis, and the unified treatment of safety and security properties. The existing classical and MBSE frameworks’ limitations obviously create gaps for a meaningful assessment of IoT dependability. To address some of the gaps, we proposed a possible research direction for developing a novel MBSE approach for the IoT domain’s safety and security coanalysis framework.

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Section: Dependability Of the Iot Systemmentioning

confidence: 99%

An Overview of Safety and Security Analysis Frameworks for the Internet of Things

et al. 2023

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“…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].…”

Section: ) Mathematical Approachmentioning

confidence: 99%

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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“…However, it comes with a price: failures in those systems can cause fatal accidents, undermining their trustworthiness in the public eye [6]. For this reason, the dependability of IoT systems has become crucial in many contexts, particularly in critical domains [7,8]. Although much progress has been made in such systems, hardware, approaches, and networks, several challenges still need to be appropriately addressed [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

FaTEMa: A Framework for Multi-Layer Fault Tolerance in IoT Systems

Melo

Aquino

2021

Sensors

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Fault tolerance in IoT systems is challenging to overcome due to its complexity, dynamicity, and heterogeneity. IoT systems are typically designed and constructed in layers. Every layer has its requirements and fault tolerance strategies. However, errors in one layer can propagate and cause effects on others. Thus, it is impractical to consider a centralized fault tolerance approach for an entire system. Consequently, it is vital to consider multiple layers in order to enable collaboration and information exchange when addressing fault tolerance. The purpose of this study is to propose a multi-layer fault tolerance approach, granting interconnection among IoT system layers, allowing information exchange and collaboration in order to attain the property of dependability. Therefore, we define an event-driven framework called FaTEMa (Fault Tolerance Event Manager) that creates a dedicated fault-related communication channel in order to propagate events across the levels of the system. The implemented framework assist with error detection and continued service. Additionally, it offers extension points to support heterogeneous communication protocols and evolve new capabilities. Our empirical results show that introducing FaTEMa provided improvements to the error detection and error resolution time, consequently improving system availability. In addition, the use of Fatema provided a reliability improvement and a reduction in the number of failures produced.

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Considerations regarding the dependability of Internet of Things

Cited by 7 publications

References 6 publications

An Overview of Safety and Security Analysis Frameworks for the Internet of Things

An Overview of Safety and Security Analysis Frameworks for the Internet of Things

A Survey on Trustworthiness for the Internet of Things

FaTEMa: A Framework for Multi-Layer Fault Tolerance in IoT Systems

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