Cyber-resilience drivers in digital business networks: an expert-based prioritization using dual-gray DEMATEL and adaptive SWARA
IntroductionDigital business networks are increasingly exposed to complex cyber threats, making the identification and prioritization of cyber resilience drivers essential for organizational stability. This study aims to identify, structure, and prioritize key cyber resilience drivers relevant to digital business network environments.MethodsTo achieve this objective, an expert-based multi-criteria decision-making framework was developed by integrating Dual-Grey DEMATEL and Adaptive SWARA. Dual-G
Record details
Published: 5 August 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Military & security · Environment
Retrieved: 6 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic)
arXiv red teaming query · 5 August 2026
No One Wins in Nuclear War: A Social Simulation of Military Decision-making
arXiv cs.CY · 4 August 2026
FedVAR: Prototype-Aligned Federated Framework for Video Anomaly Recognition
arXiv · 7 August 2026
Beyond Component Testing: Validating Agentic AI Systems
arXiv cs.AI · 31 July 2026
Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations
arXiv cs.LG · 30 July 2026
Machine Learning-Based Cyber Defense for Cloud Infrastructure: An Adaptive Deep Q-Network Architecture for Intelligent Intrusion Detection and Automated Threat Mitigation
arXiv cs.AI · 12 August 2026
How to cite this record
ethics.ai (5 August 2026), “Cyber-resilience drivers in digital business networks: an expert-based prioritization using dual-gray DEMATEL and adaptive SWARA,” evidence record 16720, https://ethics.ai/record/16720 (originally published by Frontiers in Artificial Intelligence).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.