Architectural Patterns for Secure IoT Orchestrations

Fysarakis, Konstantinos; Spanoudakis, George; Petroulakis, Nikolaos E.; Soultatos, Othonas; Bröring, Arne; Marktscheffel, Tobias

doi:10.1109/giots.2019.8766425

Cited by 12 publications

(8 citation statements)

References 24 publications

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“…IoT generates valuable information [15] and opportunities that governments can use to make their services better and more efficient for citizens. IoT service orchestration is a term used to explain the integration of separate systems, software, and sensors into a single service management platform [17], [18]. This service orchestration offers the ability to integrate IoT with existing business workflows and systems [19] such as public service systems.…”

Section: Introductionmentioning

confidence: 99%

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

Chohan

2020

IEEE Access

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Digitization and lightning expansions in digital technology have made it possible to collect data on almost anything, making it easier to quantify and integrate the collected data. The diffusion of IoT technologies has fostered the government-citizen relationship, creating a powerful argument for public value creation. Thus, IoT service orchestration can influence the development and trustworthiness of intention to use behavior. This study aims to explore the success factors of IoT service orchestration to create public value in smart government by integrating ISST and cognitive trust into TAM. Based on the literature and research outcomes, a comprehensive IoT-based Public Value Model (IoT-PVM) was developed to provide a complete picture of system success. This conceptual model is validated analytically through a quantitative method using PLS-SEM. The findings highlight that IoT service orchestration can enable the government to deliver public value, just as public trust has a parental role in building citizens' positive behavior intentions towards the use of IoT in e-government services. The model explains 71.8% variance in perceived ease of use, 59.7% in public trust, 62.6% in perceived usefulness, 61.9% in usage behavior intention, and 69.8% of public value creation. The study results and discussion offer valuable insights regarding the public value creation of IoTempowered public services and also contribute to academic research literature and are practically helpful for policymakers for designing IoT service orchestration and making government smarter, more transparent, and responsive to citizens.

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Section: Introductionmentioning

confidence: 99%

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

Chohan

2020

IEEE Access

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“…They specify appropriate countermeasures for mitigating it, contributing to a specific problem in many IoT systems. Paper Fysarakis et al (2019) discusses a pattern-driven framework solution to encode dependencies between the security concerns mentioned in "Security and privacy concerns" section. More specifically, paper Fysarakis et al (2019) presents orchestration models required for IoT and IIoT applications to guarantee quality properties including security, privacy.…”

Section: Answering Rq22 How Well Do the Patterns And Architectures Co...mentioning

confidence: 99%

A decade of research on patterns and architectures for IoT security

2022

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Security of the Internet of Things (IoT)-based Smart Systems involving sensors, actuators and distributed control loop is of paramount importance but very difficult to address. Security patterns consist of domain-independent time-proven security knowledge and expertise. How are they useful for developing secure IoT-based smart systems? Are there architectures that support IoT security? We aim to systematically review the research work published on patterns and architectures for IoT security (and privacy). Then, we want to provide an analysis on that research landscape to answer our research questions. We follow the well-known guidelines for conducting systematic literature reviews. From thousands of candidate papers initially found in our search process, we have systematically distinguished and analyzed thirty-six (36) papers that have been peer-reviewed and published around patterns and architectures for IoT security and privacy in the last decade (January 2010–December 2020). Our analysis shows that there is a rise in the number of publications tending to patterns and architectures for IoT security in the last three years. We have not seen any approach of applying systematically architectures and patterns together that can address security (and privacy) concerns not only at the architectural level, but also at the network or IoT devices level. We also explored how the research contributions in the primary studies handle the different issues from the OWASP Internet of Things (IoT) top ten vulnerabilities list. Finally, we discuss the current gaps in this research area and how to fill in the gaps for promoting the utilization of patterns for IoT security and privacy by design.

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“…A number of network components are deployed in 5Genabled infrastructure where the LCA can be collected based on the multiagent approach proposed previously. To evaluate this approach, suitable, tree-based network topologies are created by the enforcement of additional architectural pattern rules [15]. The topology consists of a master node interconnected with a number of routers.…”

Section: ) Multidomain Lca Monitoring That Enables Predictive Circulmentioning

confidence: 99%

Pairing a Circular Economy and the 5G-Enabled Internet of Things: Creating a Class of ?Looping Smart Assets?

Miaoudakis

Fysarakis

Petroulakis

et al. 2020

IEEE Veh. Technol. Mag.

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The increase in the world's population has led to a massive rise in human consumption of the planet's natural resources, well beyond their replacement rate. Traditional recycling concepts and methods are not enough to counter such effects. In this context, a circular economy (CE), that is, a restorative and regenerative by-design economy, can reform today's "take-make-dispose" economic model. On the other hand, the Internet of Things (IoT) continues to gradually transform our everyday lives, allowing for the introduction of novel types of services while enhancing legacy ones. Taking this as our motivation, in this article we analyze the CE/IoT interplay, indicating innovative ways in which this interaction can drastically affect products and services, their underlying business models, and the associated ecosystems. Moreover, we present an IoT architecture that enables smart object integration into the IoT ecosystem. The presented architecture integrates circularityenabling features by maximizing the exploitation of assets toward a new type of IoT ecosystem that is circular by design (CbD). Finally, we provide a proof-of-concept implementation and an application study of the proposed architecture and results regarding the applicability of the proposed approach for the telecommunications (telecom) sector.

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Architectural Patterns for Secure IoT Orchestrations

Cited by 12 publications

References 24 publications

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

A decade of research on patterns and architectures for IoT security

Pairing a Circular Economy and the 5G-Enabled Internet of Things: Creating a Class of ?Looping Smart Assets?

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