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This paper addresses the problem of jointly detecting and isolating cyber-physical attacks on Supervisory Control And Data Acquisition (SCADA) systems. The SCADA systems are described as a discrete-time state space model in the presence of unknown system states and Gaussian noises. The cyber-physical attacks are modeled as additive signals on both system equations, where different attack scenarios...
In this paper, we propose a novel pre-processing method for the direction-of-arrival (DOA) estimation of multiple sources in multipath environments. In such environments, radio signals impinging on an antenna array can be either uncorrelated, partially correlated or fully correlated (or coherent signals). The proposed pre-processing technique consists of receiving the radio signals at different time...
In spectrum monitoring applications, radio signals are often sampled at the speed of several hundreds of MHz by high-performance analog-to-digital converters (ADC). These wideband IQ samples are generally stored in hard drives for offline monitoring purposes such as direction finding or position location. In such scenarios, the lossless compression and decompression of wideband IQ samples helps in...
Supervisory control and data acquisition (SCADA) systems are highly distributed systems used to control and monitor geographically dispersed assets—often scattered over thousands of square kilometers— in which centralized data acquisition is critical to system operation [1]. These large-scale industrial control systems (ICSs) have been playing an extremely important role in most safety-critical infrastructures...
This paper deals with the problem of detecting cyber-physical attacks on Supervisory Control And Data Acquisition (SCADA) systems. The discrete-time state space model is used to describe the systems. The attacks are modeled as additive signals of short duration on both state evolution and sensor measurement equations. The steady-state Kalman filter is employed to generate the sequence of innovations...
This paper addresses the problem of detecting cyber/physical attacks on Supervisory Control And Data Acquisition (SCADA) systems. The detection of cyber/physical attacks is formulated as the problem of detecting transient changes in stochastic-dynamical systems in the presence of unknown system states (often regarded as the nuisance parameter). The Variable Threshold Window Limited CUmulative SUM...
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