Toward a Self-Adaptive Cyberdefense Framework in Organization
Author(s) -
Kuan-Jui Huang,
Kuo-Huie Chiang
Publication year - 2021
Publication title -
sage open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.357
H-Index - 32
ISSN - 2158-2440
DOI - 10.1177/2158244020988855
Subject(s) - computer science , computer security , risk analysis (engineering) , position paper , mechanism (biology) , knowledge management , adaptive learning , process management , business , artificial intelligence , world wide web , epistemology , philosophy
Organizations suffer more than ever from the inability to securely manage the information system, despite their myriad efforts. By introducing a real cyberattack of a bank, this research analyzes the characteristics of modern cyberattacks and simulates the dynamic propagation that makes them difficult to manage. It develops a self-adaptive framework that through simulation, distinctly improves cyberdefense efficiency. The results illustrate the discrepancies of the previous studies and validate the use of a time-based self-adaptive model for cybersecurity management. The results further show the significance of human and organizational learning effects and a coordination mechanism in obtaining a highly dependable cyberdefense setting. This study also provides an illuminating analysis for humans to position themselves in the collaborations with increasingly intelligent agents in the future.
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