Toward a Self-Adaptive Cyberdefense Framework in Organization
Bibliographic Data
| ID | 3274520 |
|---|---|
| Authors | Kuan-Jui Huang (0000-0001-5178-3189, National Taiwan University, corresponding author), Kuo-Huie Chiang (National Chengchi University) |
| Year | 2021 |
| Volume | 11 |
| Issue | 1 |
| Publication date | 2021-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2158244020988855 |
| OpenAlex | W3121535332 |
| Language | EN |
| Citations received | 1 |
| References cited | 41 |
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
Adaptive Learning · Business · Computer security · Knowledge management · Position paper · Process management · Computer Science · Information and Cyber Security · Network Security and Intrusion Detection · Smart Grid Security and Resilience · Artificial Intelligence
| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |