SoIoT

Ko, In-Young; Ko, Han-Gyu; Molina, A.; Kwon, Jung-Hyun

doi:10.1145/2835492

Cited by 41 publications

(4 citation statements)

References 19 publications

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“…Unfortunately, there are no multiple datasets available on the service composition in IoT domains, and the available datasets are confined to three datasets, QWS [ 80 ], WS-DREAM [ 81 ], and OWLS-Xplan [ 82 ], and datasets that are generated randomly. We considered the QWS dataset [ 83 ], similar to the work of some other scholars [ 41 , 84 ], to approve and validate our theory. The QWS dataset comprises a set of QWS measurements for 2507 service implementations.…”

Section: Experiments Resultsmentioning

confidence: 99%

A Quality-of-Service-Aware Service Composition Method in the Internet of Things Using a Multi-Objective Fuzzy-Based Hybrid Algorithm

Hamzei,

Khandagh,

Jafari Navimipour

2023

Sensors

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The Internet of Things (IoT) represents a cutting-edge technical domain, encompassing billions of intelligent objects capable of bridging the physical and virtual worlds across various locations. IoT services are responsible for delivering essential functionalities. In this dynamic and interconnected IoT landscape, providing high-quality services is paramount to enhancing user experiences and optimizing system efficiency. Service composition techniques come into play to address user requests in IoT applications, allowing various IoT services to collaborate seamlessly. Considering the resource limitations of IoT devices, they often leverage cloud infrastructures to overcome technological constraints, benefiting from unlimited resources and capabilities. Moreover, the emergence of fog computing has gained prominence, facilitating IoT application processing in edge networks closer to IoT sensors and effectively reducing delays inherent in cloud data centers. In this context, our study proposes a cloud-/fog-based service composition for IoT, introducing a novel fuzzy-based hybrid algorithm. This algorithm ingeniously combines Ant Colony Optimization (ACO) and Artificial Bee Colony (ABC) optimization algorithms, taking into account energy consumption and Quality of Service (QoS) factors during the service selection process. By leveraging this fuzzy-based hybrid algorithm, our approach aims to revolutionize service composition in IoT environments by empowering intelligent decision-making capabilities and ensuring optimal user satisfaction. Our experimental results demonstrate the effectiveness of the proposed strategy in successfully fulfilling service composition requests by identifying suitable services. When compared to recently introduced methods, our hybrid approach yields significant benefits. On average, it reduces energy consumption by 17.11%, enhances availability and reliability by 8.27% and 4.52%, respectively, and improves the average cost by 21.56%.

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Section: Experiments Resultsmentioning

confidence: 99%

A Quality-of-Service-Aware Service Composition Method in the Internet of Things Using a Multi-Objective Fuzzy-Based Hybrid Algorithm

Hamzei,

Khandagh,

Jafari Navimipour

2023

Sensors

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“…The scalar-point multiplication is significantly more expensive than symmetric encryption/decryption, hash function evaluation, and MAC generation/verification. Furthermore, despite the use of ECC, the majority of schemes fail to achieve user anonymity and mutual authentication [27,28].However, the ECC based encryption is recommended for resource constrained devices like IoT devices to design anonymous and authentication scheme combined with Identity based encryption.…”

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

An Efficient Secure Group Authenticated Key Agreement Protocol for Wireless Sensor Networks in IoT Environment

Srinivas Kalime

2023

IJRITCC

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Internet of Things(IoT) consist of interconnected devices for transmitting and receiving the data over the network. Key management is important for data confidentiality while transmitting in an open network. Even though several key management techniques are feasible to use, still obtaining a key management technique is a challenge with respect to energy and computational cost. The main intention of this work is to discover and overcome the design issues of the existing system and implement a lightweight and secure solution for that issue. The existing system has a fatal security flaw that leads to the unavailability of a complete system which is considered a huge problem in Internet of things. To overcome this issue, an authenticated key management protocol is proposed which deals with the problem of single point of failure and maintains the security properties of the existing system. An authenticated scheme is provided using elliptic curve and hash functions. This scheme also provides client addition, deletion and key freshness. Security analysis and computation complexity has been also discussed. We experimented proposed algorithm and tested with Scyther verification tool. The design overcomes the issues of an existing system by utilizing our scheme in peer to peer network. This network resolves the issue of a single point of failure (SPOF) by distributing the resources and services to the multiple nodes in the network. It will dissolve the problem of SPOF and will increase the reliability and scalability of the IoT system.

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“…Such works however have never been considered in the context of IoT services, network services and clouds together. In [39] user-centric IoT application composition is shown. This, however, does not include networks.…”

Section: Programming and Composition Models For Ensemblesmentioning

confidence: 99%

Notes on ensembles of IoT, network functions and clouds for service-oriented computing and applications

Truong

Narendra²,

Lin

2018

SOCA

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Many advances have been introduced recently for service-oriented computing and applications (SOCA). The Internet of Things (IoT) has been pervasive in various application domains. Fog/Edge computing models have shown techniques that move computational and analytics capabilities from centralized data centers where most enterprise business services have been located to the edge where most customer's Things and their data and actions reside. Network functions between the edge and the cloud can be dynamically provisioned and managed through service APIs. Microservice architectures are increasingly used to simplify engineering, deployment and management of distributed services in not only cloud-based powerful machines but also in light-weighted devices. Therefore, a key question for the research in SOCA is how do we leverage existing techniques and develop new ones for coping with and supporting the changes of data and computation resources as well as customer interactions arising in the era of IoT and Fog/Edge computing. In this editorial paper, we attempt to address this question by focusing on the concept of ensembles for IoT, network functions and clouds.

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SoIoT

Cited by 41 publications

References 19 publications

A Quality-of-Service-Aware Service Composition Method in the Internet of Things Using a Multi-Objective Fuzzy-Based Hybrid Algorithm

A Quality-of-Service-Aware Service Composition Method in the Internet of Things Using a Multi-Objective Fuzzy-Based Hybrid Algorithm

An Efficient Secure Group Authenticated Key Agreement Protocol for Wireless Sensor Networks in IoT Environment

Notes on ensembles of IoT, network functions and clouds for service-oriented computing and applications

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