Sequential (quickest) change detection: Classical results and new directions
Online detection of changes in stochastic systems, referred to as sequential change
detection or quickest change detection, is an important research topic in statistics, signal …
detection or quickest change detection, is an important research topic in statistics, signal …
Statistical transfer learning: A review and some extensions to statistical process control
F Tsung, K Zhang, L Cheng, Z Song - Quality Engineering, 2018 - Taylor & Francis
The rapid development of information technology, together with advances in sensory and
data acquisition techniques, has led to the increasing necessity of handling datasets from …
data acquisition techniques, has led to the increasing necessity of handling datasets from …
Quickest detection of false data injection attack in wide-area smart grids
We consider the sequential (ie, online) detection of false data injection attacks in smart grid,
which aims to manipulate the state estimation procedure by injecting malicious data to the …
which aims to manipulate the state estimation procedure by injecting malicious data to the …
Some current directions in the theory and application of statistical process monitoring
WH Woodall, DC Montgomery - Journal of Quality Technology, 2014 - Taylor & Francis
The purpose of this paper is to provide an overview and our perspective of recent research
and applications of statistical process monitoring. The focus is on work done over the past …
and applications of statistical process monitoring. The focus is on work done over the past …
Quickest change detection
VV Veeravalli, T Banerjee - Academic press library in signal processing, 2014 - Elsevier
The problem of detecting changes in the statistical properties of a stochastic system and time
series arises in various branches of science and engineering. It has a wide spectrum of …
series arises in various branches of science and engineering. It has a wide spectrum of …
Sequential multi-sensor change-point detection
Y Xie, D Siegmund - 2013 Information Theory and Applications …, 2013 - ieeexplore.ieee.org
We develop a mixture procedure to monitor parallel streams of data for a change-point that
affects only a subset of them, without assuming a spatial structure relating the data streams …
affects only a subset of them, without assuming a spatial structure relating the data streams …
Timely detection and mitigation of stealthy DDoS attacks via IoT networks
Internet of Things (IoT) networks consist of sensors, actuators, mobile and wearable devices
that can connect to the Internet. With billions of such devices already in the market which …
that can connect to the Internet. With billions of such devices already in the market which …
Real-time monitoring of high-dimensional functional data streams via spatio-temporal smooth sparse decomposition
High-dimensional data monitoring and diagnosis has recently attracted increasing attention
among researchers as well as practitioners. However, existing process monitoring methods …
among researchers as well as practitioners. However, existing process monitoring methods …
A review on minimax rates in change point detection and localisation
Y Yu - arXiv preprint arXiv:2011.01857, 2020 - arxiv.org
This paper reviews recent developments in fundamental limits and optimal algorithms for
change point analysis. We focus on minimax optimal rates in change point detection and …
change point analysis. We focus on minimax optimal rates in change point detection and …
RSU-based online intrusion detection and mitigation for VANET
Secure vehicular communication is a critical factor for secure traffic management. Effective
security in intelligent transportation systems (ITS) requires effective and timely intrusion …
security in intelligent transportation systems (ITS) requires effective and timely intrusion …