Название: Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control- and Game-Theoretic Approaches to Cyber Security Автор: Sushil Jajodia, George Cybenko, Peng Liu
Издательство: Springer
Год: 2019
Страниц: 270
Язык: английский
Формат: pdf (true)
Размер: 15.7 MB
Today’s cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. In this book, we leverage reinforcement learning as a unified framework to design effective adaptive cyber defenses against zero-day attacks.
