Ensuring Confidentiality of Information When Processing Operational Production Plans in Cloud Services

Radda Iureva, Sergey Taranov, Alexander Penskoi, Artem Kremlev

2020

Abstract

This paper proposes two methods for ensuring the confidentiality of information transmitted to cloud services when processing the operational production schedule. The first method consists of the consistent classification of critical information and the depersonalization of symbolic parameters, which may be personal or commercial secret, concerning the type of anonymized data. The second method, as an additional gain, involves homomorphic encryption of numerical parameters.For each of the proposed methods, the disadvantages and advantages of its use and implementation are described.

Paper Citation

in Harvard Style

Iureva R., Taranov S., Penskoi A. and Kremlev A. (2020). Ensuring Confidentiality of Information When Processing Operational Production Plans in Cloud Services.In Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-442-8, pages 167-173. DOI: 10.5220/0009873201670173

in Bibtex Style

@conference{icinco20,
author={Radda Iureva and Sergey Taranov and Alexander Penskoi and Artem Kremlev},
title={Ensuring Confidentiality of Information When Processing Operational Production Plans in Cloud Services},
booktitle={Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2020},
pages={167-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009873201670173},
isbn={978-989-758-442-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Ensuring Confidentiality of Information When Processing Operational Production Plans in Cloud Services
SN - 978-989-758-442-8
AU - Iureva R.
AU - Taranov S.
AU - Penskoi A.
AU - Kremlev A.
PY - 2020
SP - 167
EP - 173
DO - 10.5220/0009873201670173