Visible to the public An Intelligent Model to Assess Information Systems Security Level

TitleAn Intelligent Model to Assess Information Systems Security Level
Publication TypeConference Paper
Year of Publication2021
AuthorsViktoriia, Hrechko, Hnatienko, Hrygorii, Babenko, Tetiana
Conference Name2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4)
Date Publishedjul
KeywordsAdaptation models, artificial intelligence, artificial neural network, Artificial neural networks, Collaboration, cyber physical systems, cybersecurity, Information security, information systems security maturity level, ISO standards, Metrics, Multilayer Perceptron, Neural networks, policy-based governance, pubcrawl, resilience, Resiliency, security, security audit, Security Policies Analysis, Task Analysis, Tools
Abstract

This research presents a model for assessing information systems cybersecurity maturity level. The main purpose of the model is to provide comprehensive support for information security specialists and auditors in checking information systems security level, checking security policy implementation, and compliance with security standards. The model synthesized based on controls and practices present in ISO 27001 and ISO 27002 and the neural network of direct signal propagation. The methodology described in this paper can also be extended to synthesis a model for different security control sets and, consequently, to verify compliance with another security standard or policy. The resulting model describes a real non-automated process of assessing the maturity of an IS at an acceptable level and it can be recommended to be used in the process of real audit of Information Security Management Systems.

DOI10.1109/WorldS451998.2021.9514019
Citation Keyviktoriia_intelligent_2021