Trust in Edge-based Internet of Things Architectures: State of the Art and Research Challenges

Fotia, Lidia; Delicato, Flávia Coimbra; Fortino, Giancarlo

doi:10.1145/3558779

Cited by 40 publications

(22 citation statements)

References 96 publications

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“…This allows other nodes to verify the validity of the data logger node without having to maintain a list of node IDs in the database format. This occurs at the communication layer for the sole purpose of protecting the data from tampering, after which the data is not stored in the Tangle (56).…”

Section: Implementation and Evaluationmentioning

confidence: 99%

“…In the proposed structure, each message is connected to at least two and up to eight previous messages, and any change in this message will invalidate the message by invalidating the attached message chain. The Iota network guarantees that the message will not be tampered as soon as the message is approved by Milestone, which takes about 8 seconds (56). Each message stores in binary format and can hold up to 32 KB of information.…”

Section: A Transaction Planmentioning

confidence: 99%

See 1 more Smart Citation

A CoviReader Architecture Based on IOTA Tangle for Outbreak Control in Smart Cities during COVID-19 Pandemic

Alhavan

Azimi

Corchado

2022

Med. J. Islam. Republ. Iran

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Background: Reportedly, many of the data collected for detecting infected people are being used for other than healthcare purposes. On the other hand, fabricated digital COVID-19 test results will pose a danger to vulnerable people and to public health. This paper presents a CoviReader architecture designed for a smart city health information management system to manage outbreak of COVID-19 pandemic while protecting citizens' privacy and tamper-proofing their health status data.Methods: We used IOTA as an infrastructure for data management. We introduced two plans: "Transaction Plan", handling daily interactions of citizens in a smart city and "Big Data Plan", providing the COVID-19 crisis headquarters with the aggregated data for curbing the pandemic.Results: Through the proposed CoviReader architecture people's using IOTA tangle, people's health status data are readily available to the crisis headquarters and verification of the validity of the final file against data manipulation will also be possible by comparing the hash of the consolidated received file with the original hash of the file registered in the IOTA Tangle. Reported plans were capable of handling tamper proofed data delivery. Conclusion:The proposed CoviReader architecture ensures the availability and at the same time constrains manipulation of data. The provided solution aids healthcare providers to control pandemic and at the same time to preserve commuting people's data for any unintended or illegal identity disclosure.

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Section: Implementation and Evaluationmentioning

confidence: 99%

Section: A Transaction Planmentioning

confidence: 99%

A CoviReader Architecture Based on IOTA Tangle for Outbreak Control in Smart Cities during COVID-19 Pandemic

Alhavan

Azimi

Corchado

2022

Med. J. Islam. Republ. Iran

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“…Trust plays a significant role in guaranteeing UAVs' safe and consistent functioning [14]. Various algorithms and metrics are utilized to assess the trustworthiness of individuals, aiding users in making informed decisions about whom to trust and engage with by evaluating their actions, comments, and interactions with others [15].…”

Section: Introductionmentioning

confidence: 99%

A Survey on Reputation Systems for UAV Networks

Ogunbunmi,

Chen,

Blasch

et al. 2024

Preprint

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The proliferation of Unmanned Aerial Vehicle (UAV) networks is increasing, driven by their capacity to deliver automated services tailored to the varied demands of numerous smart city applications. Trust, security, and privacy remain paramount in the public domain. Traditional centralized network designs fall short of ensuring device authentication, data integrity, and privacy within UAV networks’ highly dynamic and adaptable environments. Decentralized reputation systems emerge as a promising solution to enhance the reliability and trustworthiness of data and communications within these networks while safeguarding UAV security. This paper presents an exhaustive survey of trust and reputation systems, exploring existing frameworks and proposed innovations alongside their inherent challenges. It highlights the crucial role of reputation systems in strengthening trust, security, and privacy throughout these networks and discusses various strategies to mitigate existing vulnerabilities. As a useful resource for researchers and practitioners seeking to advance the state of the art in UAV network security, we hope this survey will spark further community discussion and stimulate innovative ideas in this burgeoning field.

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“…The IoB can also be used to track human activity and location to reduce the risk of viral contamination and identify unhealthy behaviors, allowing healthcare providers to intervene and prevent health problems. Additionally, the IoB can support the development of smart apps and devices that act as health advisors, providing users with real-time information on their health status and potential risks [21]. So, in order to conduct daily performances consisting of treatment arrangement and operations planning in healthcare, there is a requirement for the IoB [22].…”

Section: Introductionmentioning

confidence: 99%

The Personal Health Applications of Machine Learning Techniques in the Internet of Behaviors

Amiri,

Heidari,

Darbandi

et al. 2023

Sustainability

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With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the medical and healthcare fields are utilizing machine learning (ML) methodologies in numerous inventive ways. ML techniques have outstripped formerly state-of-the-art techniques in medical and healthcare practices, yielding faster and more precise outcomes. Healthcare practitioners are increasingly drawn to this technology in their initiatives relating to the Internet of Behavior (IoB). This area of research scrutinizes the rationales, approaches, and timing of human technology adoption, encompassing the domains of the Internet of Things (IoT), behavioral science, and edge analytics. The significance of ML in medical and healthcare applications based on the IoB stems from its ability to analyze and interpret copious amounts of complex data instantly, providing innovative perspectives that can enhance healthcare outcomes and boost the efficiency of IoB-based medical and healthcare procedures and thus aid in diagnoses, treatment protocols, and clinical decision making. As a result of the inadequacy of thorough inquiry into the employment of ML-based approaches in the context of using IoB for healthcare applications, we conducted a study on this subject matter, introducing a novel taxonomy that underscores the need to employ each ML method distinctively. With this objective in mind, we have classified the cutting-edge ML solutions for IoB-based healthcare challenges into five categories, which are convolutional neural networks (CNNs), recurrent neural networks (RNNs), deep neural networks (DNNs), multilayer perceptions (MLPs), and hybrid methods. In order to delve deeper, we conducted a systematic literature review (SLR) that examined critical factors, such as the primary concept, benefits, drawbacks, simulation environment, and datasets. Subsequently, we highlighted pioneering studies on ML methodologies for IoB-based medical issues. Moreover, several challenges related to the implementation of ML in healthcare and medicine have been tackled, thereby gradually fostering further research endeavors that can enhance IoB-based health and medical studies. Our findings indicated that Tensorflow was the most commonly utilized simulation setting, accounting for 24% of the proposed methodologies by researchers. Additionally, accuracy was deemed to be the most crucial parameter in the majority of the examined papers.

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Trust in Edge-based Internet of Things Architectures: State of the Art and Research Challenges

Cited by 40 publications

References 96 publications

A CoviReader Architecture Based on IOTA Tangle for Outbreak Control in Smart Cities during COVID-19 Pandemic

A CoviReader Architecture Based on IOTA Tangle for Outbreak Control in Smart Cities during COVID-19 Pandemic

A Survey on Reputation Systems for UAV Networks

The Personal Health Applications of Machine Learning Techniques in the Internet of Behaviors

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