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20082026
most citedPower Allocation Strategies in Energy Harvesting Wireless Cooperative Networks

511 citations · 1.2k across the 54 of their papers we have counts for

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7 papers · 1 filter

eess.SY2025

Decentralized Stealth Attacks on Cyber-Physical Systems

Xiuzhen Ye, Inaki Esnaola, Samir M. Perlaza +1

Decentralized stealth attack constructions that minimize the mutual information between the state variables and the measurements are proposed. The attack constructions are formulat…

eess.SY2022

An information theoretic vulnerability metric for data integrity attacks on smart grids

Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza +1

A novel metric that describes the vulnerability of the measurements in power systems to data integrity attacks is proposed. The new metric, coined vulnerability index (VuIx), lever…

eess.SY2022

Power Injection Measurements are more Vulnerable to Data Integrity Attacks than Power Flow Measurements

Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza +1

A novel metric that describes the vulnerability of the measurements in power system to data integrity attacks is proposed. The new metric, coined vulnerability index (VuIx), levera…

eess.SY2022

Stealth Data Injection Attacks with Sparsity Constraints

Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza +1

Sparse stealth attack constructions that minimize the mutual information between the state variables and the observations are proposed. The attack construction is formulated as the…

eess.SY2021

Data-Injection Attacks

Iñaki Esnaola, Samir M. Perlaza, Ke Sun

In this chapter we review some of the basic attack constructions that exploit a stochastic description of the state variables. We pose the state estimation problem in a Bayesian se…

eess.SY2020

Information Theoretic Data Injection Attacks with Sparsity Constraints

Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza +1

Information theoretic sparse attacks that minimize simultaneously the information obtained by the operator and the probability of detection are studied in a Bayesian state estimati…