AUTOCON-IoT: Automated and Scalable Online Conformance Testing for IoT Applications

Hwang, Jae-Young; Aziz, Abdullah Nur; Sung, Nak-Myoung; Ahmad, Abbas; Gall, Franck Le; Song, JaeSeung

doi:10.1109/access.2020.2976718

Cited by 24 publications

(9 citation statements)

References 40 publications

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“…The potential performance of the IoT architecture depends on the protocols such as HTTP, XMPP, MQTT, DDS, Advanced Message Queuing Protocol (AMQP) and Constrained Application Protocol (CoAP) in the application layer [46]. i) Hypertext Transfer Protocol (HTTP).…”

Section: Standard Protocols Of the Iot Architecturementioning

confidence: 99%

A Review on Privacy Requirements and Application Layer Security in Internet of Things (IoT)

Sudha

Jeyanthi

2021

Cybernetics and Information Technologies

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Internet of Things (IoT) is the predominant emerging technology that targets on facilitating interconnection of internet-enabled resources. IoT applications concentrate on automating different tasks that facilitate physical objects to act autonomously without any human interventions. The emerging and current IoT applications are determined to be highly significant for improving the degree of efficiency, comfort and automation for its users. Any kind of security breach on the system will directly influences the life of the humans In this paper, a comprehensive review on Privacy requirements and application layer Security in Internet of Things (IoT) is presented for exploring the possible security issues in IoT that could be launched over the individual layers of IoT architecture. This review explores different challenges of classical security solutions that are related to authentication, key management and cryptographic solutions.It also presents the details of existing access control and device authentication schemes with their pros and cons.

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Section: Standard Protocols Of the Iot Architecturementioning

confidence: 99%

A Review on Privacy Requirements and Application Layer Security in Internet of Things (IoT)

Sudha

Jeyanthi

2021

Cybernetics and Information Technologies

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“…First, big data analysis is often not compatible with latency-sensitive applications on manufacturing plants [17]. The works by Genge et al, C. Yang et al, and Hwang et al, [17], [83,84], discuss that challenges include reconfigurability to disturbances and changes, aging of the devices that introduces security risks and the cost of testing of IoT devices. The article by Genge et al proposes using PCA for constant abnormal event monitoring to detect the early warning signs of aging [83]; and the works by Hwang et al propose conformance checking to keep up with the rapid increase in sensors [84].…”

Section: Internet Of Thingsmentioning

confidence: 99%

“…The works by Genge et al, C. Yang et al, and Hwang et al, [17], [83,84], discuss that challenges include reconfigurability to disturbances and changes, aging of the devices that introduces security risks and the cost of testing of IoT devices. The article by Genge et al proposes using PCA for constant abnormal event monitoring to detect the early warning signs of aging [83]; and the works by Hwang et al propose conformance checking to keep up with the rapid increase in sensors [84]. For overall security, Ethereum smart contracts are widely used to help control and govern the interactions in smart manufacturing [85].…”

Section: Internet Of Thingsmentioning

confidence: 99%

A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing

Lepasepp

Hurst

2021

Future Internet

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Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial revolution, its applications have been widely discussed and used in many business scenarios. This concept is derived from the advantages of internet and technology, and it describes the efficient synchronicity of humans and computers in smart factories. By leveraging big data analysis, machine learning and robotics, the end-to-end supply chain is optimized in many ways. However, these implementations are more challenging in heavily regulated fields, such as medical device manufacturing, as incorporating new technologies into factories is restricted by the regulations in place. Moreover, the production of medical devices requires an elaborate quality analysis process to assure the best possible outcome to the patient. Therefore, this article reflects on the benefits (features) and limitations (obstacles), in addition to the various smart manufacturing trends that could be implemented within the medical device manufacturing field by conducting a systematic literature review of 104 articles sourced from four digital libraries. Out of the 7 main themes and 270 unique applied technologies, 317 features and 117 unique obstacles were identified. Furthermore, the main findings include an overview of ways in which manufacturing could be improved and optimized within a regulated setting, such as medical device manufacturing.

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“…This is particularly true for the end-to-end services that are being proposed in several domains (e-health, smart cities, etc. ), taking advantage of recent advances in cloud, mobile computing, and Internet of Things (IoT) [3]- [5]. Such services depend on the proper interoperation of multiple devices and applications from different vendors, forming a distributed and heterogeneous system or system of systems, often subject to timing requirements.…”

Section: Introductionmentioning

confidence: 99%

Local Observability and Controllability Analysis and Enforcement in Distributed Testing With Time Constraints

2020

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Evermore end-to-end digital services depend on the proper interoperation of multiple products, forming a distributed system, often subject to timing requirements. To ensure interoperability and the timely behavior of such systems, it is important to conduct integration tests that verify the interactions with the environment and between the system components in key scenarios. The automation of such integration tests requires that test components are also distributed, with local testers deployed close to the system components, coordinated by a central tester. Test coordination in such a test architecture is a big challenge. To address it, in this paper we propose an approach based on the pre-processing of the test scenarios. We first analyze the test scenarios in order to check if conformance errors can be detected locally (local observability) and test inputs can be decided locally (local controllability) by the local testers for the test scenario under consideration, without the need for exchanging coordination messages between the test components during test execution. If such properties do not hold, we next try to determine a minimum set of coordination messages or time constraints to be attached to the given test scenario to enforce those properties and effectively solve the test coordination problem with minimal overhead. The analysis and enforcement procedures were implemented in the DCO Analyzer tool for test scenarios described by means of UML sequence diagrams. Since many local observability and controllability problems may be caused by design flaws or incomplete specifications, and multiple ways may exist to enforce local observability and controllability, the tool was designed as a static analysis assistant to be used before test execution. DCO Analyzer was able to correctly identify local observability and controllability problems in real-world scenarios and help the users fix the detected problems.

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AUTOCON-IoT: Automated and Scalable Online Conformance Testing for IoT Applications

Abstract: (IITP) funded by the Korean Government (MSIT) under Grant 2019-0-00426 (Development of active kill-switch and biomarker-based defence system for life-threatening IoT medical devices).

Cited by 24 publications

References 40 publications

A Review on Privacy Requirements and Application Layer Security in Internet of Things (IoT)

A Review on Privacy Requirements and Application Layer Security in Internet of Things (IoT)

A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing

Local Observability and Controllability Analysis and Enforcement in Distributed Testing With Time Constraints

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