Towards Privacy-Preserving Local Monitoring and Evaluation of Network Traffic from IoT Devices and Corresponding Mobile Phone Applications

Klement, Felix; Pöhls, Henrich C.; Spielvogel, Korbinian

doi:10.1109/giots49054.2020.9119507

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…They have also discussed in detail their Snap4City smart city solution. In [8], authors have presented their work on local monitoring and evolution of network traffic from IoT devices and connected mobile devices. This work is focused on the localization of data for privacy enhancement.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Data Privacy in the Internet of Things (IoT) Using Edge Computing

Sadique

Rahmani

Johannesson

2020

Communications in Computer and Information Science

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The vast deployment of the Internet of Things (IoT) is improving human life standards every day. These IoT applications are producing a massive amount of data from the environment where it is deployed. The collected data are mostly including end-user private data or industrial data, which are transmitted over the internet to the cloud devices for storing, processing, and sharing with the connected applications. Recent IoT data privacy-related researches are mostly focused on data privacy within a particular location of the network or at a specific device, but as per our knowledge, none has pointed and listed all the places where the end-user or industrial data privacy risks exist. In this work, we have addressed both technical and management aspects to enhance the privacy of IoT data. We have identified and listed the places where IoT data privacy risks exist, followed by our proposed model for data privacy enhancement in the internet of things (IoT). A list of ten suggestions for avoiding data privacy leakage to enhance IoT data privacy enhancement is presented. The results of this work should be useful for both academic researchers and stakeholders from the industry while designing and implementing new IoT solutions for the enhancement of human society.

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Section: Related Workmentioning

confidence: 99%

Enhancing Data Privacy in the Internet of Things (IoT) Using Edge Computing

Sadique

Rahmani

Johannesson

2020

Communications in Computer and Information Science

View full text Add to dashboard Cite

show abstract

“…If messages contain privacy-sensitive data, then exchanging these messages without suitable protection can easily be a significant security problem [FOP + 16]. Furthermore, many devices autonomously send information to the manufacturer's servers which allows for insights into the physical activities at the location where the devices are in use [KPS20].…”

Section: Introductionmentioning

confidence: 99%