Modeling Abstraction Hierarchy Levels of the Cyber Attacks Using Random Process

• 作者: Emmanuel Frenod Gilles Durrieu Thierry Morineau Thong Quoc Nguyen
• 来源期刊: 统计学期刊(英文)
• 学科: 数学
• 关键词: CYBER ATTACKS ABSTRACTION HIERARCHY Hidden Markov Chain NONPARAMETRIC Estimation RENEWAL Process
• 年，卷（期）: tjxqkyw_2017,（3）
• 页码范围: 500-520
• 页数: 21页
• 分类号: O1

摘要

Aspects of human behavior in cyber security allow more natural security to the user. This research focuses the appearance of anticipating cyber threats and their abstraction hierarchy levels on the mental picture levels of human. The study concerns the modeling of the behaviors of mental states of an individual under cyber attacks. The mental state of agents being not observable, we propose a non-stationary hidden Markov chain approach to model the agent mental behaviors. A renewal process based on a nonparametric estimation is also considered to investigate the spending time in a given mental state. In these approaches, the effects of the complexity of the cyber attacks are taken into account in the models.