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Production Engineering Archives
Article . 2025 . Peer-reviewed
License: CC BY
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Production Engineering Archives
Article . 2025
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Validation of the use of KPIs to measure information security management system performance in manufacturing companies

Authors: Andrzej Pacana; Karolina Czerwińska;

Validation of the use of KPIs to measure information security management system performance in manufacturing companies

Abstract

Abstract An Information Security Management System (ISMS) compliant with ISO/IEC 27001 requires the development and implementation of an effective system to guarantee the protection of information from threats. The aim of the study was to propose a set of indicators to measure the effectiveness of SZBI safeguards in manufacturing companies. A model for analysing the effectiveness of the SMS was built, which requires significant involvement of the company’s management. Systemic information security management produces the best results, as it involves treating as a whole all processes taking place in the organisation and is consistent with them. A way to measure the degree of information security was defined using indicator analysis and the application of key performance indicators (KPIs). The metrics addressed key areas such as malware protection, quality of passwords and authentication, updating systems and applications, data handling and training. The implementation of a set of indicators makes it possible to diagnose the security system currently in place and identify critical areas for improvement. The model and set of indicators presented in the study can be a helpful tool in maintaining an effective SMS and safeguarding the interests of manufacturing enterprises and their stakeholders.

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Keywords

Engineering machinery, tools, and implements, information security performance, iso/iec 27004, cybersecurity kpis, smart manufacturing, TA213-215, industry 4.0, TJ227-240, Machine design and drawing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold