Cloud Computing for IoT Systems

James, Alice; Seth, Avishkar; Mukhopadhyay, Subhas Chandra

doi:10.1007/978-3-030-85863-6_9

Cited by 3 publications

(3 citation statements)

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“…DMC platforms are one of the preferred cloud platforms for geodistributed networks [15], [16], [17], [18], including DSM. The University of Aizu's robot research group is working on the DMC shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…With respect to robustness, scalability and interoperability should be preserved without compromising integrity. We can then note that security, privacy, scalability, and interoperability are essential multiobjective QoS requirements for maintaining the integrity and robustness of components and operations [17], [18], [19], [20], [21], [22].…”

Section: Introductionmentioning

confidence: 99%

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QoS-Aware Federated Crosschain-Based Model-Driven Reference Architecture for IIoT Sensor Networks in Distributed Manufacturing

Siriweera,

Naruse

2023

IEEE Sensors J.

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The realm of the Industrial Internet of Things (IIoT) encompasses a broad spectrum of sensors that are integral to distributed smart manufacturing (DSM). The miscellaneous IIoT sensors deployed for DSM are distributed and operate in a hierarchical and federated structure. Nonetheless, fulfilling essential quality of service (QoS) requirements, such as ensuring security and privacy (integrity) while maintaining scalability and interoperability (robustness), poses a profound challenge for the DSM cloud service platform. Although blockchain technologies have been used to safeguard integrity, the first two generations have imposed constraints on robustness. In contrast, the third-generation blockchain, a.k.a. decentralized crosschain ecosystem, complements Web 3.0 and metaverse and can mitigate the constraints of previous generations. Moreover, blockchain-based ad hoc solutions for DSM use cases are abundant; they often suffer from limited adaptability and unique or homogeneous use cases from a software engineering perspective. A holistic architectural modeling process (AMP) leading to a software reference architecture (SRA) is preferred when alleviating ad hoc constraints. Therefore, we proposed an AMP for SRA for crosschain-based DSM that safeguards integrity while preserving robustness. In the work described in this article, we have conducted the following system-modeling process. First, we propose a novel software AMP for DSM. Second, we deduce a modeled SRA based on a crosschain. Third, we infer a modeled system architecture (SA). Empirical experiment results demonstrate that our proposed crosschain-based method outperforms the widely used on-chainbased method while achieving our objectives efficiently.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

QoS-Aware Federated Crosschain-Based Model-Driven Reference Architecture for IIoT Sensor Networks in Distributed Manufacturing

Siriweera,

Naruse

2023

IEEE Sensors J.

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“…On one hand, this has become possible through the emergence of small-sized smart devices named smart sensors intended to monitor a targeted environment and collect the related data [13][14][15][16]. On the other hand, the evolution of cloud computing platforms has made it possible to offer significant computing power and an enormous storage capacity to support IoT networks and enable the storage of huge amounts of data collected for further processing and decision-making [17][18]. Recent statistics reveal that the number of connected devices will triple from 9 billion to 27.9 billion by 2030 [19].…”

mentioning

confidence: 99%

Parent supervision lightweight solution against version number attacks for IoT networks

Rouissat

Belkheir

Mokaddem

2023

Preprint

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With the rapid involvment of IoT networks in almost all aspects of our daily life, the security concern is being more challenging to protect the enormous amount of the data exchanged over theses networks. Statisitcs reveal that threats against IoT networks are more and more growing , while DoS attacks are taking the lead. However, mitigation solutions against attacks targetting IoT networks must be developped while taking into consideration the network scalability, but also they should fit with the limited resources of IoT devices in terms of processing, storage, energy efficiency, and connectivity-loss. For thi aim, the present work proposes a lightweight detection and mitigation solution against the version number attack "VNA" which is considered as one among the haitful DoS attacks against IoT networks. The proposed decentralized algorithm targets the edge part of the netowrk. Upon an illigitimate incremented version number the sink node is informed via an alert DAO message by the malicious node parent, and it disseminates this information through the overall network to advertise the malicois originator. Beside its efficiency, the proposed algorithm does not involve any encryption algorithm, it does not generale any heavyweight computation, nor a specific extra node is needed for monitoring the network. Simulations were carried out to demonstrate the effectiveness of the solution in terms of control overhead, energy efficiency, latency, and memory footrpint.

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