Model and methodology for the formation of adaptive security profiles for the protection of wireless networks in the face of dynamic cyber threats

The paper introduces a comprehensive model and accompanying methodology for constructing adaptive security profiles aimed at protecting wireless networks under dynamic cyber-threat conditions. The significance of the study stems from the ever-escalating complexity of attacks targeting wireless infrastructures, the widespread emergence of hybrid threat scenarios, the continual expansion of client-device diversity (including IoT endpoints), and the increasingly rapidly evolving risk landscape. The investigation was conducted with explicit reference to contemporary international cybersecurity standards—IEEE 802.11ax/802.11be, ISO/IEC 27033, ISO/IEC 15408, and NIST SP 800-53—and was guided by the principles of Zero-Trust architecture, which advocates a context-sensitive approach to designing access-control, authentication, encryption, and monitoring policies. The proposed model facilitates the creation of a family of security profiles that can be dynamically updated in accordance with the prevailing threat level, interaction modality, trust degree assigned to participating nodes, and detected behavioral anomalies within network traffic. The developed methodology incorporates a multifactorial risk assessment that considers the technological characteristics of the transmission medium, observed attack activity, interference levels, and the specific access context. Consequently, the model can underpin automated solutions that enhance cyber-resilience, certify the security posture of wireless networks, and enable dynamic, real-time audit mechanisms.

Publication Details

Journal
Borys Grinchenko Kyiv University Institutional repository (Borys Grinchenko Kyiv University)
Published
2025-09-25
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Model and methodology for the formation of adaptive security profiles for the protection of wireless networks in the face of dynamic cyber threats

Borys Grinchenko Kyiv University Institutional repository (Borys Grinchenko Kyiv University)
Economic and Technological Systems Analysis
article

Model and methodology for the formation of adaptive security profiles for the protection of wireless networks in the face of dynamic cyber threats

article en

Abstract

The paper introduces a comprehensive model and accompanying methodology for constructing adaptive security profiles aimed at protecting wireless networks under dynamic cyber-threat conditions. The significance of the study stems from the ever-escalating complexity of attacks targeting wireless infrastructures, the widespread emergence of hybrid threat scenarios, the continual expansion of client-device diversity (including IoT endpoints), and the increasingly rapidly evolving risk landscape. The investigation was conducted with explicit reference to contemporary international cybersecurity standards—IEEE 802.11ax/802.11be, ISO/IEC 27033, ISO/IEC 15408, and NIST SP 800-53—and was guided by the principles of Zero-Trust architecture, which advocates a context-sensitive approach to designing access-control, authentication, encryption, and monitoring policies. The proposed model facilitates the creation of a family of security profiles that can be dynamically updated in accordance with the prevailing threat level, interaction modality, trust degree assigned to participating nodes, and detected behavioral anomalies within network traffic. The developed methodology incorporates a multifactorial risk assessment that considers the technological characteristics of the transmission medium, observed attack activity, interference levels, and the specific access context. Consequently, the model can underpin automated solutions that enhance cyber-resilience, certify the security posture of wireless networks, and enable dynamic, real-time audit mechanisms.

Borys Grinchenko Kyiv University Institutional repository (Borys Grinchenko Kyiv University)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Economic and Technological Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.