A Reference Architecture for Improving Security and Privacy in Internet of Things Applications

Addo, Ivor D.; Ahamed, Sheikh Iqbal; Yau, Stephen S.; Buduru, Arun Balaji

doi:10.1109/mobserv.2014.24

Cited by 41 publications

(20 citation statements)

References 14 publications

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“…Microsoft Azure SQL (Structured Query Language) database is used on the cloud side. Moreover, a reference architecture is presented for IoT applications to ensure security and privacy [25]. Microsoft Azure is used as the provider in their movie suggestion application case study.…”

Section: Azure Usage In Iot and Iiot Systemsmentioning

confidence: 99%

Internet of Measurement Things Architecture: Proof of Concept with Scope of Accreditation

Kaya

Nikoo

Schwartz³

et al. 2020

Sensors

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Many industries, such as manufacturing, aviation, and power generation, employ sensitive measurement devices to be calibrated by certified experts. The diversity and sophistication of measurement devices and their calibration needs require networked and automated solutions. Internet of Measurement Things (IoMT) is an architectural framework that is based on the Industrial Internet of Things for the calibration industry. This architecture involves a layered model with a cloud-centric middle layer. In this article, the realization of this conceptual architecture is described. The applicability of the IoMT architecture in the calibration industry is shown through an editor application for Scope of Accreditation. The cloud side of the implementation is deployed to Microsoft Azure. The editor itself is created as a cloud service, and IoT Hub is used to collect data from calibration laboratories. By adapting the IoMT architecture to a commonly used cloud platform, considerable progress is achieved to encompass Metrology data and serve the majority of the stakeholders.

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Section: Azure Usage In Iot and Iiot Systemsmentioning

confidence: 99%

Internet of Measurement Things Architecture: Proof of Concept with Scope of Accreditation

Kaya

Nikoo

Schwartz³

et al. 2020

Sensors

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“…Highlighted IoT Privacy Threats cryptographic algorithms, control access management tools, data minimization techniques, and privacy or context awareness protocols (Table I). [1], [67], [44], [36], [18], [53], [22], [5], [64], [30], [7], [13], [77], [59], [73] Data minimization 3 [15], [7], [59] Access control 6 [1], [31], [30], [13], [39], [59] Privacy awareness or context awareness 12 [1], [31], [55], [5], [81], [7], [71], [70], [77], [69], [59], [8] Differential Privacy 0 Other (introspection, trust assessment and evaluation) 3 [34], [6], [40] Not Evaluated Cryptographic techniques and information manipulation 16 [24], [25], [79], [9], [20], [51], [41], [54], [43], [26], [...…”

Section: Threats Solutions Principles Perceptionsmentioning

confidence: 99%

Privacy of the Internet of Things: A Systematic Literature Review

Aleisa¹,

Renaud²

2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…•DaaS (Data as a Service) [22] •EaaS (Ethernet as a Service) [22] •영화 추천 서비스 [28]: 스마트 TV에 연결된 kinect 가 사용자가 보고 있는 패턴이나 기호(preference) 를 캡쳐하여 클라우드에 제공하고 분석하여 영화 를 추천해 주는 서비스이다.…”

Section: 사물인터넷과 클라우드의 융합 패러다임은 클라우드 서비스를 확장한 다음과 같은 새로운 서비스들을 가능 하게 하unclassified

Research on Convergence of Internet-of-Things and Cloud Computing

Choi¹,

Kim²

2016

The Journal of the Korea Contents Association

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Internet of Things (IoTs) technologies have been computerized information generated from a variety of objects and humans, and have been applied to various fields by connecting via the Internet. In order to compensate for the marginal characteristics of IoT smart devices, such as low-power, limited processing and capacities, combining IoT and cloud computing technologies is now established itself as one of the paradigms. In this paper, we look at the definition, features and services of IoT and cloud computing technology, and we investigate and analyze the conversing needs of IoT and could computing, existing conversion paradigms, convergence cases, and platforms. In results, there are challenges to be solved, even though the cloud technologies complement a number of restrictions of IoT and offer various advantages such as scalability, interoperability, reliability, efficiency, availability, security, ease of access, ease of use, and reduced cost of deployment. We analyze the new research issues of convergence paradigm, and finally suggest a research challenges for convergence.■ keyword :|Internet-of-Thing (IoT)|Cloud Computing|Convergence|Research Trend|

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A Reference Architecture for Improving Security and Privacy in Internet of Things Applications

Cited by 41 publications

References 14 publications

Internet of Measurement Things Architecture: Proof of Concept with Scope of Accreditation

Internet of Measurement Things Architecture: Proof of Concept with Scope of Accreditation

Privacy of the Internet of Things: A Systematic Literature Review

Research on Convergence of Internet-of-Things and Cloud Computing

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