| Sarah's Tech & Research Blog
Hidden Markov Models
In this article, we first provide a thorough analysis of the threats in the cloud–edge–terminal network. Then, we conduct a comprehensive survey to discuss the concept, design principles, and main classifications of MTD. Next, we further introduce the development potential in terms of AI-powered MTD on each network layer.
In this paper, we propose a concept of deception attack surface to illustrate deception-based moving target defense. Moreover, we propose a quantitative method to measure deception, which includes two core concepts: exposed falseness degree and hidden truth de
gree.
This study presents the basic concepts of MTD and game theory, followed by a literature review, to study MTD decision-making methods based on game theory from the dimensions of space, time, space–time, and bounded rationality.
This is a compilation of a series of videos in which Prof. Patterson describes the Hidden Markov Model, starting with the Markov Model and proceeding to the three key questions for HMMs. A Hidden Markov Model is a machine learning model for predicting sequences of states from indirect observations.