Security-based service broker policy for FOG computing environment

Arya, Deeksha; Dave, Mayank

doi:10.1109/icccnt.2017.8204036

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…[10], [11], [20], [21], [22] Experiments Simulations Quantitative [12], [15], [17], [19] Experiments Testbed Quantitative [13], [16], [18] Literature review One of the strong research strategies for concept development is the literature review [25]. In [13], [16], [18] literature review research strategy is used.…”

Section: Methods Of Data Analysismentioning

confidence: 99%

“…A reputationbased trust evaluation model is proposed in [23]. • Decision Making: Fog layer decision making can improve trust in IoT [22]. Fog layer decision support can increase security in IoT as well as improve the quality of service concerning time while communication to the cloud layer is expensive and hard to process data in resource constraint IoT devices.…”

Section: • Intrusion Prevention System (Ips): Implementationmentioning

confidence: 99%

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Fog Computing for Trust in the Internet of Things (IoT): A Systematic Literature Review

Sadique

Rahmani

Johannesson

2020

2020 International Conference on Computer Science, Engineering and Applications (ICCSEA)

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Fog computing-based solution improves the quality of IoT solutions by making a bridge between the cloud layer and end devices of the IoT paradigm. Fog computing can also increase security and trust in IoT by processing data at the fog layer which is closer to the source of data where it is produced. Reproducibility of research results is one of the curtail criteria for any scientific research. Proper documentation about research methodology allows fellow researchers to reproduce the results and to further extend the research findings. Recent researches are addressing fog computing-based trust and security solutions for the resource constraint IoT devices as it is more convenient and efficient to manage those from the nearest location and not managing those from the cloud. In this paper, we have presented the current state of fog computing-based trust solutions for IoT with future research direction within the area. A framework for trust management for IoT at the fog layer is also proposed in this paper. We have also discussed different scientific research approaches used in fog computing-based trust management in IoT research. The strengths and weaknesses of existing research methodologies used in fog computing-based trust management solutions in the internet of things (IoT) research are also discussed.

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Section: Methods Of Data Analysismentioning

confidence: 99%

Section: • Intrusion Prevention System (Ips): Implementationmentioning

confidence: 99%

Fog Computing for Trust in the Internet of Things (IoT): A Systematic Literature Review

Sadique

Rahmani

Johannesson

2020

2020 International Conference on Computer Science, Engineering and Applications (ICCSEA)

View full text Add to dashboard Cite

show abstract

“…This framework is custom-made for fog situations, where load balancing is a critical component for maximizing resource efficiency, and bandwidth, and achieving the desired level of service (QoS). The studies in the article [41] discuss the fog computing environment, employ quantization datacenter security and introduce a suitable security-based service broker policy (SbSBP) to allocate the best datacenter(s) to serve users' demands based on cost, time, and security requirements. The concept of reconfigure ability has been included, taking into account the dynamic behavior of fog computing.…”

Section: Related Workmentioning

confidence: 99%

Message Scheduling in Blockchain Based IoT Environment With Additional Fog Broker Layer

et al. 2022

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Recently researchers and companies have shown significant interest in merging blockchain and the Internet of Things (IoT) to create a safe, reliable, and resilient communication platform. However, determining the proper role of blockchain in existing IoT contexts with minimum implications is a challenge. This work suggests a message schedule for a blockchain-based architecture with two access-level setting filters for incoming messages: critical and non-critical. The proposed work of the researchers divides the fog layer into two parts: action clusters and blockchain fog clusters. Similar to the three-layered IoT architecture, the action cluster and the main cloud data center work together for critical message requests. The blockchain fog cluster is dedicated to only the blockchain application's requirements. In the fog layer, a fog broker is used to schedule critical and non-critical messages in the action and blockchain fog clusters, respectively. The proposed technique is compared to the existing Dual Fog-IoT architecture. The solution is also tested for fog and cloud computing resource utilization. The findings demonstrate that this architecture is feasible for varying percentages of receiving critical and non-critical messages. In addition to the inherent benefits of blockchain, the suggested paradigm reduces the system loss rate and offloads the cloud data center with minimal changes to the existing IoT ecosystem.INDEX TERMS Internet of Things (IoT), Message Scheduling, Wireless Sensor Networks, Fog Computing.

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An Approach for Secure Data Sharing in Cloud and Fog-Based IoT Network

Arya

Dave

2022

Lecture Notes in Electrical Engineering

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Security-based service broker policy for FOG computing environment

Cited by 7 publications

References 10 publications

Fog Computing for Trust in the Internet of Things (IoT): A Systematic Literature Review

Fog Computing for Trust in the Internet of Things (IoT): A Systematic Literature Review

Message Scheduling in Blockchain Based IoT Environment With Additional Fog Broker Layer

An Approach for Secure Data Sharing in Cloud and Fog-Based IoT Network

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