A secure fog-based communication scheme

Amor, Arij Ben; Abid, M.; Meddeb, Aref

doi:10.1109/iintec.2017.8325929

Cited by 5 publications

(11 citation statements)

References 2 publications

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“…Whereas authentication can be efficiently achieved through soft and behavioral biometrics [18], as well as by implementing lightweight schemes [19] that meet the low computational capabilities of edge/fog devices, ensuring trust in a dynamic fog environment is usually harder because the behavior of mobile nodes is likely to change over time. In [20], authors describe a Secure Fog-based Communication Scheme (SFCS) to ensure trust between edge devices and fog devices via a novel session key agreement. Such a protocol uses ECC encryption, Discrete Logarithm Problem and bilinear pairing allowing to establish the session key without extra-parameters.…”

Section: Related Workmentioning

confidence: 99%

“…The authors of [22] propose a forwarding scheme for mobile IoT devices in which the trustworthiness of the nodes is estimated according to their service degree, and then used to build reliable communities. Other works [20,21] address only secure edge-fog communications, without considering the security issues of fog-cloud data transmission.…”

Section: Related Workmentioning

confidence: 99%

“…After receiving ER E , the CDC sends the logic set of messages ER C containing the fullEdgeApp , which is signed, encrypted, and sent to the edge ID E through the fog ID F (steps [18][19][20].…”

Section: Fig 2 Fog Devices Enrollmentmentioning

confidence: 99%

“…When the edge device receives E F1 , it verifies that EPU E corresponds to the one reported in message E E1 and performs all the steps needed to obtain K S (steps [16][17][18][19][20]. From now on, the two entities can delete all the intermediate keys and communicate through an Authenticated Encryption with Associated Data (AEAD) algorithm.…”

Section: Smcp For Harmentioning

confidence: 99%

“…In order to present a preliminary comparison of SMCP with other approaches representing the state-of-the-art, Table 3 summarizes the security features provided by some relevant related protocols. We can notice that some of them, i.e., [20] and [21], do not cover secure fog-cloud communications, nor provide user anonymity. None of these protocols but SMCP are able to manage dynamic fog device registration, while all are designed to deal with replay attacks.…”

Section: Smcp: Comparison With Saka and Firf Protocolsmentioning

confidence: 99%

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SMCP: a Secure Mobile Crowdsensing Protocol for fog-based applications

Concone

Morana

2020

Hum. Cent. Comput. Inf. Sci.

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In recent years, the availability of an ever increasing number of heterogeneous smart devices has changed everyday life as only few other technologies has been able to do in the past. The diffusion of the Internet of Things (IoT), as well as the spreading of user's personal devices, such as smartphones, tablets, and, more recently, smartwatches or other wristband devices, have enabled new people-centric sensing paradigms in which raw data captured by on board sensors can be analyzed to infer higher-level knowledge. Participatory sensing [1] and mobile crowdsensing [2], for instance, are two common strategies in which the devices owned by a community allow to understand, or even predict, relevant phenomena [3].

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Fig 2 Fog Devices Enrollmentmentioning

confidence: 99%

Section: Smcp For Harmentioning

confidence: 99%

Section: Smcp: Comparison With Saka and Firf Protocolsmentioning

confidence: 99%

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SMCP: a Secure Mobile Crowdsensing Protocol for fog-based applications

Concone

Morana

2020

Hum. Cent. Comput. Inf. Sci.

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SLA-based Multi-dimensional Trust Model for Fog Computing Environments

et al. 2022

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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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A secure fog-based communication scheme

Cited by 5 publications

References 2 publications

SMCP: a Secure Mobile Crowdsensing Protocol for fog-based applications

SMCP: a Secure Mobile Crowdsensing Protocol for fog-based applications

SLA-based Multi-dimensional Trust Model for Fog Computing Environments

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

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