연구 분야: Safety
학회: International Conference on Intelligent Human Computer Interaction
This paper addresses computational analysis of defence against Advanced Persistent Threats (APTs). The analysis is done by a behavioural network model for simulating the relevant processes, including (1) the APT attack chain itself and adaptivity of it by learning both by the hackers and by the organisation, (2) the understanding of the process by the organisation, and (3) management of the organisational response. Several variations of simulation experiments and a What-If analysis have been applied, leading to risk assessment.
Centre of Expertise Cybersecurity Risk Management and Cybersecurity Group The Hague University of Applied Sciences The Hague Netherlands
AndorraCentre of Expertise Cybersecurity Risk Management and Cybersecurity Group The Hague University of Applied Sciences The Hague Netherlands
AndorraCentre of Expertise Cybersecurity Risk Management and Cybersecurity Group The Hague University of Applied Sciences The Hague Netherlands
AndorraCentre of Expertise Cybersecurity Risk Management and Cybersecurity Group The Hague University of Applied Sciences The Hague Netherlands
AndorraCentre of Expertise Cybersecurity Risk Management and Cybersecurity Group The Hague University of Applied Sciences The Hague Netherlands
AndorraCentre of Expertise Cybersecurity Risk Management and Cybersecurity Group The Hague University of Applied Sciences The Hague Netherlands
AndorraDepartment of Computer Science Vrije Universiteit Amsterdam Social AI Group Amsterdam Netherlands
AnguillaCentre of Expertise Cybersecurity Risk Management and Cybersecurity Group The Hague University of Applied Sciences The Hague Netherlands
Andorra| 발행 연도 | 2025년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | Andorra, Anguilla |
| 사이트 | Springer |
| 좋아요 수 | 0 |