Efficient Predictive Monitoring of Linear Time-Invariant Systems Under Stealthy Attacks

Linear Time-invariant Systems

control scheme, in which different time scales for the rigid body subsystem dynamics and for the flexible dynamics are used (Canudas de Wit et al., 1996). An application of the two-time scale method is shown, for example, in Kang, Yeung, and Mills (2002). In summary, the aim of the authors to provide an upperlevel undergraduate and graduate textbook and a reference for experienced professionals...

Stealthy Deception Attacks Against SCADA Systems

SCADA protocols for Industrial Control Systems (ICS) are vulnerable to network attacks such as session hijacking. Hence, research focuses on network anomaly detection based on meta–data (message sizes, timing, command sequence), or on the state values of the physical process. In this work we present a class of semantic network-based attacks against SCADA systems that are undetectable by the abo...

AN ALGORITHM FOR FINDING THE STABILITY OF LINEAR TIME-INVARIANT SYSTEMS

The purpose of this paper is to show that the ideas and techniques of the classical methods of finding stability, such as the criteria of Leonhard and Nyquist, can be used to derive simple algorithm to verify stability. This is enhanced by evaluating the argument of the characteristic equation of a linear system in the neighbourhood of the origin of the complex plane along the imaginary axis

Detecting stealthy attacks: Efficient monitoring of suspicious activities on computer networks

It may take weeks or months before a stealthy attack is detected. As networks scale up in size and speed, monitoring for such attempts is increasingly a challenge; collection and inspection of individual packets is difficult as the volume and the rate of traffic rise. This paper presents an efficient method to overcome such a challenge. Data reduction has become an integral part of passive netw...

Linear Time-Invariant Systems with Discrete Time