Analysis and comparison of encryption and verification algorithms applied to a Fog Computing Architecture

Due to the Internet of Things (IoT) widespread adoption, data traffic to cloud servers for analysis has surged, impacting IoT system latency. Fog Computing emerged as a solution, bringing processing capabilities closer to data generation points, reducing data sent to the cloud, and improving response times. However, it intensifies security concerns due to the proximity of sensitive data to users and limited node computational resources. This research aims to study encryption and data verification algorithms using various datasets and the cryptography software OpenSSL. Testing is performed on Raspberry Pi hardware, facilitating the implementation of Fog nodes. Metrics such as CPU, memory, and energy consumption are evaluated using scripts. Results show that data type does not influence algorithm choice, and patterns related to data size behaviour are identified, aiding in defining security strategies.

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Publication Details

Journal
Journal of Information and Telecommunication
Published
2024-10-08
DOI
https://doi.org/10.1080/24751839.2024.2411884
Citations
2
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.50

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article

Analysis and comparison of encryption and verification algorithms applied to a Fog Computing Architecture

Emmanuel N. Millán, Ana Carolina Olivera, Pablo Javier Vidal, Layla M. Martínez Guevara
2 citations
Journal of Information and Telecommunication
Chaos-based Image/Signal Encryption
0.50
article

Analysis and comparison of encryption and verification algorithms applied to a Fog Computing Architecture

Emmanuel N. Millán, Ana Carolina Olivera, Pablo Javier Vidal, Layla M. Martínez Guevara
article en
2 citations

Abstract

Due to the Internet of Things (IoT) widespread adoption, data traffic to cloud servers for analysis has surged, impacting IoT system latency. Fog Computing emerged as a solution, bringing processing capabilities closer to data generation points, reducing data sent to the cloud, and improving response times. However, it intensifies security concerns due to the proximity of sensitive data to users and limited node computational resources. This research aims to study encryption and data verification algorithms using various datasets and the cryptography software OpenSSL. Testing is performed on Raspberry Pi hardware, facilitating the implementation of Fog nodes. Metrics such as CPU, memory, and energy consumption are evaluated using scripts. Results show that data type does not influence algorithm choice, and patterns related to data size behaviour are identified, aiding in defining security strategies.

Journal of Information and TelecommunicationVol. 9(2)
University of Mendoza (AR), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Universidad Nacional de Cuyo (AR), Instituto Interdisciplinario de Ciencias Básicas (AR)
Consejo Nacional de Investigaciones Científicas y Técnicas
Openalex Percentile: Top 34%
Chaos-based Image/Signal Encryption
0.50
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Analysis and comparison of encryption and verification algorithms applied to a Fog Computing Architecture — Emmanuel N. Millán, Ana Carolina Olivera, et al. · Journal of Information and Telecommunication (2024) | TGRS Research Map | TGRS