Reactive defense mechanisms, such as intrusion detection systems, have made significant
efforts to secure a system or network for the last several decades. However, the nature of …

Network defenses based on traditional tools, techniques, and procedures (TTP) fail to
account for the attacker's inherent advantage present due to the static nature of network …

Moving target defense (MTD) has emerged as a proactive defense mechanism aiming to
thwart a potential attacker. The key underlying idea of MTD is to increase uncertainty and …

The technological leap of smart technologies and the Internet of Things has advanced the
conventional model of the electrical power and energy systems into a new digital era, widely …

The recent devastating mission Cyber–Physical System (CPS) attacks, failures, and the
desperate need to scale and to dynamically adapt to changes, revolutionized traditional …

Reinforcement learning (RL) is a promising approach for intelligent agents to protect a given
system under highly hostile environments. RL allows the agent to adaptively make …

The static nature of many of currently used network systems has multiple practical benefits,
including cost optimization and ease of deployment, but it makes them vulnerable to …

The recent development of autonomous driving technologies has led to the proliferation of
research on sensors and electronic equipment inside a vehicle. To deal with security …

Abstract Moving Target Defense (MTD) utilizes granularity, flexibility and elasticity properties
of emerging networking technologies in order to continuously change the attack surface …

For the reasons that defect remedy is an endless arduous work for static network defense
technologies and cyberspace security remains unguaranteed, moving target defense (MTD) …