Security is a critical concern around the world. In many domains from cybersecurity to
sustainability, limited security resources prevent complete security coverage at all times …

Driven by the rapid development of the Internet of Things, cloud computing and other
emerging technologies, the connotation of cyberspace is constantly expanding and …

One of the major challenges about cyber–physical systems is how to protect system integrity
from cyber attacks. There has been a large number of different types of attacks discussed in …

Abstract System resilience captures the ability of the system to withstand a major disruption
within acceptable performance degradation and to recover within an acceptable time frame …

We study automated intrusion prevention using reinforcement learning. In a novel approach,
we formulate the problem of intrusion prevention as an optimal stopping problem. This …

We study automated intrusion prevention using reinforcement learning. Following a novel
approach, we formulate the problem of intrusion prevention as an (optimal) multiple stopping …

Abstract Denial of Service (DoS) attacks prevent legitimate users from accessing resources
by compromising availability of a system. Despite advanced prevention mechanisms, DoS …

We study automated intrusion response and formulate the interaction between an attacker
and a defender as an optimal stopping game where attack and defense strategies evolve …

We study automated intrusion prevention using reinforcement learning. Following a novel
approach, we formulate the interaction between an attacker and a defender as an optimal …

Multi-agent systems are becoming increasingly popular due to their successful
implementation in several sectors. However, there are a variety of threats that might …