A unified framework for stochastic optimization

WB Powell - European Journal of Operational Research, 2019 - Elsevier
Stochastic optimization is an umbrella term that includes over a dozen fragmented
communities, using a patchwork of sometimes overlapping notational systems with …

Device fingerprinting in wireless networks: Challenges and opportunities

Q Xu, R Zheng, W Saad, Z Han - … Communications Surveys & …, 2015 - ieeexplore.ieee.org
Node forgery or impersonation, in which legitimate cryptographic credentials are captured
by an adversary, constitutes one major security threat facing wireless networks. The fact that …

Sequential (quickest) change detection: Classical results and new directions

L Xie, S Zou, Y Xie, VV Veeravalli - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
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 …

[图书][B] Partially observed Markov decision processes

V Krishnamurthy - 2016 - books.google.com
Covering formulation, algorithms, and structural results, and linking theory to real-world
applications in controlled sensing (including social learning, adaptive radars and sequential …

Online cyber-attack detection in smart grid: A reinforcement learning approach

MN Kurt, O Ogundijo, C Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Early detection of cyber-attacks is crucial for a safe and reliable operation of the smart grid.
In the literature, outlier detection schemes making sample-by-sample decisions and online …

Spectrum sensing for cognitive radio: State-of-the-art and recent advances

E Axell, G Leus, EG Larsson… - IEEE signal processing …, 2012 - ieeexplore.ieee.org
The ever-increasing demand for higher data rates in wireless communications in the face of
limited or underutilized spectral resources has motivated the introduction of cognitive radio …

[图书][B] Algorithmic learning in a random world

V Vovk, A Gammerman, G Shafer - 2005 - Springer
Vladimir Vovk Alexander Gammerman Glenn Shafer Second Edition Page 1 Vladimir Vovk
Alexander Gammerman Glenn Shafer Algorithmic Learning in a Random World Second …

Distributed quickest detection of cyber-attacks in smart grid

MN Kurt, Y Yılmaz, X Wang - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
In this paper, online detection of false data injection attacks and denial of service attacks in
the smart grid is studied. The system is modeled as a discrete-time linear dynamic system …

Real-time detection of hybrid and stealthy cyber-attacks in smart grid

MN Kurt, Y Yılmaz, X Wang - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
For a safe and reliable operation of the smart grid, timely detection of cyber-attacks is of
critical importance. Moreover, considering smarter and more capable attackers, robust …

Detection of false data injection attacks in cyber–physical systems using graph convolutional network

E Vincent, M Korki, M Seyedmahmoudian… - Electric Power Systems …, 2023 - Elsevier
Smart grids comprise numerous related units based on intelligent communication and
information-oriented technologies. The advanced network communication technologies are …