Study on the Architecture of Platform for Internet of Things Service Based on EDSOA

Li, Songtai; Qiao, Xiuquan; Li, Xiaofeng

doi:10.1109/cit.2012.195

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…Always around event processing, Li et al (2012) propose a service-based architecture for the IoT, called event-driven service-oriented architecture (EDSOA), enabling the processing of more complex flows with low coupling. The signals obtained through the IoT world are concentrated in an Enterprise Service Bus that uses the Publish/Subscribe model for event processing.…”

Section: Complex Event Processing (Cep)mentioning

confidence: 99%

Industry 4.0 and business process management: state of the art and new challenges

Bazán

Estévez

2021

BPMJ

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PurposeThe objective of the work is to analyze the impact of the Internet of Things (IoT) concepts and associated technologies in the framework of organizations and the management of their processes and how event orientation, as well as the structure of said business processes, can play an important role in this new organizational model. The main contribution of this work is to present a conceptualization of the research, identify approaches and challenges that require further study, and as a result, a proposal for future research.Design/methodology/approachThe methodology comprises a qualitative analysis using secondary data. The approach relies on searches of scientific papers conducted in well-known databases, identifying research work around the IoT and Industry 4.0 applied to business process management. Based on the identified papers, the authors selected the most relevant and the latest publications, and categorized their contributions and findings based on open and selective coding. In total, the analysis is based on 95 papers that were selected and analyzed in depth.FindingsThe results of this research allow analyzing and ordering the existing contributions around Industry 4.0 and its impact on current organizations. The proposed conceptualization was derived from the analysis of the state of the research and identifies four categories: (1) improvements caused by Industry 4.0 and its impact on inter-organizational relations, (2) new architectural models and infrastructure of remote resources, their movement from the cloud to the edge and its effect on business processes, (3) context-aware concepts brought to business process management (BPM) linked to unstructured business processes and (4) complex event processing as a possible means for business processes sensitive to IoT signals.Practical implicationsThe construction of current software ecosystems is strongly affected by the variety of information sources that feed them, as well as their volume. In addition, business processes represent organizations internally and are challenged to transcend the limits of companies due to the mentioned changes in software ecosystems. Industry 4.0 in conjunction with BPM re-defines the business process management paradigm and leads them to acquire the dynamism and sensitivity to the context that they usually did not have, as well as force them to move toward distributed platforms.Originality/valueThis paper assesses the state of the art in Industry 4.0 and business process management. The area can be defined as the intersection of two bigger areas highly relevant for organizations; on the one hand, the management and execution of business processes; and on the other hand, new conceptual, technological and methodological challenges to information systems that have to become more sensitive to event processing and also have to consume a large volume of data permanently and ubiquitously.

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Section: Complex Event Processing (Cep)mentioning

confidence: 99%

Industry 4.0 and business process management: state of the art and new challenges

Bazán

Estévez

2021

BPMJ

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“…This layer collects environmental information through monitoring tools such as GPS, cameras, sensors, and sensor‐enabled RFID tags. Smart appliances in a smart kitchen, sensory devices in a smart home, smart equipment used in a smart grid, smart medical appliances inside a smart hospital, smart light and heavy machinery inside a factory 4.0 environment, communication components of a smart vehicle, smart entertainment equipment, and smart education appliances, and so on can be considered as part of the huge physical resources of an IoT system 12,14,17‐21 …”

Section: Iot System Model and Security Issuesmentioning

confidence: 99%

“…The most famous security threats in this layer are data attack, malicious code injection, common attack due to the inherent security weakness of infrastructure and underlying misbehavior, insecure communication with a third party, virtualization threats, shared resources, data protection attack, recovery attack, and software vulnerabilities. The effects of such attacks are data leakage or data loss, halt transmission, service hijacking, data Leakage, resource destruction, resource theft, permanent data loss as well as buffer overflow, and so on 12,16‐19 . Further details on some of these attacks are provided in the following.…”

Section: Iot System Model and Security Issuesmentioning

confidence: 99%

Internet of Things backdoors: Resource management issues, security challenges, and detection methods

Hashemi

Zarei

2020

Trans Emerging Tel Tech

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Internet of Things (IoT) technology is one of the successful and interesting products of ubiquitous wireless networks that beneficiate human life with the make use of smart devices. Many companies have a significant plan to develop and utilize the IoT benefits and futures. Context‐aware computing applications are extensively used anywhere and anytime but they may violate or abuse human privacy. For example, if an IoT healthcare resource like a pacemaker acts as a backdoor on a human body, human life will be in danger. Moreover, targeting the privacy of IoT users is much more catastrophic compared with targeting network security as well as network denial of service. In this article, we review the security vulnerabilities and prerequisite of the IoT resource management by pointing out to the IoT architecture in terms of the principal abstraction layer and summarize the corresponding IoT security terms. Next, we define IoT penetration testing, IoT backdoor types, backdoor severity, backdoor mechanism, and propose the corresponding backdoors detection techniques. Finally, we review the reported IoT backdoors and investigate the limitation of backdoors detection and highlight future directions.

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“…Classic Internet approaches need to be revised to address the complex requirements imposed by IoT. This asks for the development of intelligent algorithms for routing [1], information sharing security [6], [5], novel network paradigms [8], [14], [16], new services [11], [15], and advanced techniques for data fusion [3].…”

Section: Introductionmentioning

confidence: 99%

A Bayesian Packet Sharing Approach for Noisy IoT Scenarios

Vegni¹,

Loscrì²,

Neri³

et al. 2016

2016 IEEE First International Conference on Internet-of-Things Design and Implementation (IoTDI)

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Study on the Architecture of Platform for Internet of Things Service Based on EDSOA

Cited by 4 publications

References 7 publications

Industry 4.0 and business process management: state of the art and new challenges

Industry 4.0 and business process management: state of the art and new challenges

Internet of Things backdoors: Resource management issues, security challenges, and detection methods

A Bayesian Packet Sharing Approach for Noisy IoT Scenarios

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