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A network Intrusion Detection System (IDS) is a device or software that monitors network activities and raises alerts on detection of malicious behavior. State-transition based framework like Finite State Machines (FSM), extended FSM, timed FSM, Discrete Event Systems (DES) etc. are widely used in network IDSs because the framework enables formal modeling, analysis, verification etc. The attack detection...
There are many limitations to applying online spectrum analysis techniques for diagnosis of closed-loop inverter-fed induction motors due to variable load or frequency operation, and the masking effect of the current regulator. In this paper, a new automated approach for testing inverter-fed induction machines for airgap eccentricity is proposed. The main concept is to use the inverter to excite the...
Our contribution in this paper is two fold. First we provide preliminary investigation results establishing program based anomaly detection is effective if short system call sequences are modeled along with their occurrence frequency. Second as a consequence of this, built normal program model can tolerate some level of contamination in the training dataset. We describe an experimental system Sequencegram,...
A new strategy for monitoring the condition of adjustable speed induction machine drive systems is presented in this paper. The main concept of the new method is to use the inverter to perform off-line tests for quality assessment of the vulnerable components in the inverter, cable, and induction motor automatically, whenever the motor is stopped. This new approach is suitable for monitoring system...
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