ENSURING DATA SECURITY IN DATA COLLECTED FROM THE PRODUCTION AREA IN FACTORIES

Technological developments change the way of life of the society and new technological devices are introduced to the market every day. After the fourth industrial revolution, smart homes and factories are put into service with Internet of Things (IoT) devices, which are now in every aspect of people's lives. Smart homes and factories built with IoT devices collect data from daily used vehicles and systems and transmit them to the cloud environment or server hardware. One of the most important problems in these transactions is the risk of data being stolen and copied. In order to overcome these problems, it is essential to ensure the security of the data. With its simple and inexpensive devices, IoT has brought with it complex and costly security and privacy problems. IoT devices that cannot take adequate precautions due to their low resources become the primary target of attackers. IoT applications are exposed to many attack methods such as eavesdropping, copying, duplication and blocking. In this paper, it is aimed to realize the software and hardware activities of the electronic device that encrypts the data with various encryption algorithms in order to overcome the data security problem such as listening and copying during data transmission in wired and wireless environment in the production area in factories. For this purpose, an interface unit was created using ESP 32 and the data from the sources will be encrypted on this electronic card and transmitted to the target in a wired or wireless way. The encrypted data is decrypted on the target device using USB Stick hardware.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-30
DOI
https://doi.org/10.5281/zenodo.16607575
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
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article

ENSURING DATA SECURITY IN DATA COLLECTED FROM THE PRODUCTION AREA IN FACTORIES

Zenodo (CERN European Organization for Nuclear Research)
Smart Grid Security and Resilience
article

ENSURING DATA SECURITY IN DATA COLLECTED FROM THE PRODUCTION AREA IN FACTORIES

article en

Abstract

Technological developments change the way of life of the society and new technological devices are introduced to the market every day. After the fourth industrial revolution, smart homes and factories are put into service with Internet of Things (IoT) devices, which are now in every aspect of people's lives. Smart homes and factories built with IoT devices collect data from daily used vehicles and systems and transmit them to the cloud environment or server hardware. One of the most important problems in these transactions is the risk of data being stolen and copied. In order to overcome these problems, it is essential to ensure the security of the data. With its simple and inexpensive devices, IoT has brought with it complex and costly security and privacy problems. IoT devices that cannot take adequate precautions due to their low resources become the primary target of attackers. IoT applications are exposed to many attack methods such as eavesdropping, copying, duplication and blocking. In this paper, it is aimed to realize the software and hardware activities of the electronic device that encrypts the data with various encryption algorithms in order to overcome the data security problem such as listening and copying during data transmission in wired and wireless environment in the production area in factories. For this purpose, an interface unit was created using ESP 32 and the data from the sources will be encrypted on this electronic card and transmitted to the target in a wired or wireless way. The encrypted data is decrypted on the target device using USB Stick hardware.

Zenodo (CERN European Organization for Nuclear Research)
Selçuk University (TR)
Openalex Percentile: Top 48%
Smart Grid Security and Resilience
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ENSURING DATA SECURITY IN DATA COLLECTED FROM THE PRODUCTION AREA IN FACTORIES · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS