Most current game theory-based cybersecurity analysis methods use traditional game
models, which do not meet realistic conditions of continuous dynamic changes in attack …

Game theory has been researched extensively in network security demonstrating an
advantage of modeling the interactions between attackers and defenders. Game theoretic …

Current threat models typically consider all possible ways an attacker can penetrate a
system and assign probabilities to each path according to some metric (eg time-to …

An enormous amount of functions in our everyday life became dependent on computer
networks. Network attacks become more sophisticated and perplexing. Defending against …

Cyber warfare presents a major potential threat to critical infrastructures (CIs). Decision
makers who want to develop resilient CIs must consider both strategic and operational …

The existing game-theoretic approaches for network security problems mostly use the static
game or the multi-stage dynamic game. However, these researches can not meet the …

In a real‐world network confrontation process, attack and defense actions change rapidly
and continuously. The network environment is complex and dynamically random. Therefore …

Security measurement matters to every stakeholder in network security. It provides security
practitioners the exact security awareness. However, most of the works are not applicable to …

Although the ability to model and infer attacker intent, objectives, and strategies (AIOS) may
dramatically advance the literature of risk assessment, harm prediction, and predictive or …

How to quantify the threat probability in network security risk assessment is an important
problem to be solved. Most of the existing methods tend to consider the attacker and …