655 citations · 1.4k across the 34 of their papers we have counts for
13 papers · 1 filter
Distributed Synchronisation of Heterogeneous Dynamical Networks With Nonlinear Diffusive Couplings
Yongkang Su, Joaquin Carrasco, Iñaki Esnaola +1
This letter investigates the problem of output synchronisation in heterogeneous dynamical networks with nonlinear diffusive couplings in the presence of disturbances on the couplin…
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…
Stealth Attacks Against Moving Target Defense for Smart Grid
Ke Sun, Iñaki Esnaola, H. Vincent Poor
Data injection attacks (DIAs) pose a significant cybersecurity threat to the Smart Grid by enabling an attacker to compromise the integrity of data acquisition and manipulate estim…
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…
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…
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…
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…
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…
Optimal Model-Based Sensor Placement & Adaptive Monitoring Of An Oil Spill
Zak Hodgson, Inaki Esnaola, Bryn Jones
This paper presents a model based adaptive monitoring method for the estimation of flow tracers, with application to mapping, prediction and observation of oil spills in the immedi…
A combined ocean and oil model for model-based adaptive monitoring
Zak Hodgson, David Browne, Inaki Esnaola +1
This paper presents a combined ocean and oil model for adaptive placement of sensors in the immediate aftermath of oilspills. A key feature of this model is the ability to correct…
Denial of Service Attacks on Control Systems with Packet Loss
William Casbolt, Iñaki Esnaola, Bryn Jones
The performance of control systems with packet loss as a result of an attack over the actuation communication channel is analysed. The operator is assumed to monitor the state of t…
Optimal Control over Multiple Input Lossy Channels
William Casbolt, Bryn Jones, Iñaki Esnaola
The performance of control systems with input packet losses on the controller to plant communication channel is analysed. The main contribution of this work is a proof that linear…
Robust Recovery of Missing Data in Electricity Distribution Systems
Cristian Genes, Iñaki Esnaola, Samir. M. Perlaza +2
The advanced operation of future electricity distribution systems is likely to require significant observability of the different parameters of interest (e.g., demand, voltages, cu…