Abstract: A real-time sequence-based anomaly detection system is disclosed. In a preferred embodiment, the intrusion detection system is incorporated as part of a software wrapper. Event abstraction in the software wrapper enables the intrusion detection system to apply generically across various computing platforms. Real-time anomaly detection is enabled through the definition of a distance matrix that defines allowable separation distances between pairs of system calls. The distance matrix indirectly specifies known sequences of system calls and can be used to determine whether a sequence of system calls in an event window represents an anomaly. Anomalies that are detected are further analyzed through levenshtein distance calculations that also rely on the contents of the distance matrix.

Abstract: A system and method for frequent and accurate measuring of flat sheet thickness on a process line is disclosed. The results of the monitoring process of the present invention may be used to adjust the production process to better remain within predetermined tolerances. Data collection, data analysis, and process control are accomplished using a plurality of software applications in communication with various devices and equipment that support these functions of the present invention. A source/dectector unit collects data during the production process. The data is transmitted, manipulated, analyzed, and compared for conformance to tolerances and error signal output is transmitted to a process control system used to control the production process. If the sheet product is outside a specified tolerance range, an operator may also be notified so that corrective actions can be taken. Software applications may be used by an operator to perform setup and configuration operations.