Towards a heterogeneous IoT privacy architecture

Gupta, Sanonda Datta; Ghanavati, Sepideh

doi:10.1145/3341105.3374108

Cited by 7 publications

(8 citation statements)

References 1 publication

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“…There are approaches for testing IoT applications, 45 handle privacy violations in IoT clouds, 46 mutation testing of IoT applications, 47 and cost‐effective deployment and testing of IoT clouds 48 . Some approaches utilize DTs for anomaly detection in healthcare IoT systems, 3 industrial IoT systems, 49 and CPSs 4,50 .…”

Section: Related Workmentioning

confidence: 99%

Model‐based digital twins of medicine dispensers for healthcare IoT applications

Sartaj,

Ali,

Yue

et al. 2024

Softw Pract Exp

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SummaryHealthcare applications with the Internet of Things (IoT) are often safety‐critical, thus, require extensive testing. Such applications are often connected to smart medical devices from various vendors. System‐level testing of such applications requires test infrastructures physically integrating medical devices, which is time and monetary‐wise expensive. Moreover, applications continuously evolve, for example, introducing new devices and users and updating software. Nevertheless, a test infrastructure enabling testing with a few devices is insufficient for testing healthcare IoT systems, hence compromising their dependability. In this paper, we propose a model‐based approach for the creation and operation of digital twins (DTs) of medicine dispensers as a replacement for physical devices to support the automated testing of IoT applications at scale. We evaluate our approach with an industrial IoT system with medicine dispensers in the context of Oslo City and its industrial partners, providing healthcare services to its residents. We study the fidelity of DTs in terms of their functional similarities with their physical counterparts: medicine dispensers. Results show that the DTs behave more than 92% similar to the physical medicine dispensers, providing a faithful replacement for the dispenser.

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Section: Related Workmentioning

confidence: 99%

Model‐based digital twins of medicine dispensers for healthcare IoT applications

Sartaj,

Ali,

Yue

et al. 2024

Softw Pract Exp

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“…Gupta et al [81], [82] analyze inconsistency between mobile-based IoT applications' source code and their privacy policies. First, they conduct static analysis to identify the sensitive APIs usage in an application's source code.…”

Section: Source Code Analysis-based Approachesmentioning

confidence: 99%

“…•Do not analyze data leakage during the application's run-time. Identifying Over-privileged Permission and Privacy Risks [78], [79], [81], [82].…”

Section: User Studies and Survey-based Approachesmentioning

confidence: 99%

“…However, existing works do not focus on giving real-time privacy notices while collecting and processing any sensitive information. Other works related to developing privacy notice mechanisms consider implementing privacy risk reports by analyzing several risk factors such as inconsistency and inference of PII before the deployment of the device within the network [81], [82]. However, none of them acknowledge the information sensitivity of IoT devices while informing consumers about the identified privacy risks.…”

Section: A Analysis Of Research Questionsmentioning

confidence: 99%

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Privacy in the Internet of Things: Where do We Stand? A Systematic Literature Review

Gupta¹,

Ghanavati²

2022

Preprint

Self Cite

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“…There is now a considerable body of research that has recognised that IoT's heterogeneous mesh of network devices and protocols have created a unique set of risks and problems that will affect most households [6] [7]. From breaches in confidentiality, which could allow users to be snooped on.…”

Section: Introductionmentioning

confidence: 99%

A Secure and Scalable IoT Consensus Protocol

Mackenzie

Ferguson

Razaq

2022

The Fifth International Conference on Safety and Security With IoT

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Several consensus algorithms have been proposed as a way of resolving the Byzantine General problem with respect to blockchain consensus process. However, when these consensus algorithms are applied to a distributed, asynchronous network some suffer with security and/or scalability issues, while others suffer with liveness and/or safety issues. This is because the majority of research have not considered the importance of liveness and safety, with respect to the integrity of the consensus decision. In this paper a novel solution to this challenge is presented. A solution that protects blockchain transactions from fraudulent or erroneous mis-spends. This consensus protocol uses a combination of probabilistic randomness, an isomorphic balance authentication, error detection and synchronised time restrictions, when assessing the authenticity and validity of IoT request. Designed to operate in a distributed asynchronous network, this approach increases scalability while maintaining a high transactional throughput, even when faced with Byzantine failure.

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Towards a heterogeneous IoT privacy architecture

Cited by 7 publications

References 1 publication

Model‐based digital twins of medicine dispensers for healthcare IoT applications

Model‐based digital twins of medicine dispensers for healthcare IoT applications

Privacy in the Internet of Things: Where do We Stand? A Systematic Literature Review

A Secure and Scalable IoT Consensus Protocol

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