Reducing complexity in cyber security architecture: A practical model for security classifications

Eleni Richter
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Eleni Richter: Energie Baden-Württemberg AG, Germany

Cyber Security: A Peer-Reviewed Journal, 2023, vol. 7, issue 2, 110-119

Abstract: Building and running cyber security in both worlds, modern cloud security in combination with legacy on premises, introduces extra complexity. Some of the well-known security patterns and models are not applicable in cloud systems, while modern security models like zero trust (ZT) barely fit into legacy systems. Security technologies and tools are the subject of constant enhancements and adaptions to their environment. They can make security decisions on a very fine-grained basis. The corresponding rule sets and policies are becoming more and more decentralised, detailed and complex. Introducing modern security models such as ZT or micro-perimeter enforces the effect. The overall situation makes it hard for the responsible person to control the cyber security situation and the staff operating cyber security systems and technologies. Both are overwhelmed by the mass of fine-grained, fragmented and distributed security workloads. This paper introduces a practical model for security classifications in cyber security environments. The main goal of the model is to reduce complexity and keep cyber environments manageable. The model delivers not only a cyber risk classification regarding a single business application but works as an integrated view over risks for complete cyber environments.

Keywords: cyber security classification; complexity reduction; cloud; legacy systems; OT systems (search for similar items in EconPapers)
JEL-codes: M15 (search for similar items in EconPapers)
Date: 2023
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