1. An intrusion detection system for detecting and defeating an unauthorized intrusion within a computer network of an infrastructure element of a high value target, the system comprising: a pre-processor configured to receive data from the computer network of the infrastructure element of the high value target and to output filtered data; a grammar applicator configured to apply grammars produced using a grammar based compression and learning algorithm to the filtered data; a decision making device in communication with the grammar applicator and configured to provide a recommendation based on an input from the grammar applicator as to whether the data in the computer network constitutes the unauthorized intrusion; and an emulator in communication with the decision making device and configured to expand a sampling of the filtered data using a polymorphic transformation to allow the decision making device to further analyze the sampled data to determine the unauthorized intrusion.
1. An intrusion detection system for detecting and defeating an unauthorized intrusion within a computer network of an infrastructure element of a high value target, the system comprising: a pre-processor configured to receive data from the computer network of the infrastructure element of the high value target and to output filtered data; a grammar applicator configured to apply grammars produced using a grammar based compression and learning algorithm to the filtered data; a decision making device in communication with the grammar applicator and configured to provide a recommendation based on an input from the grammar applicator as to whether the data in the computer network constitutes the unauthorized intrusion; and an emulator in communication with the decision making device and configured to expand a sampling of the filtered data using a polymorphic transformation to allow the decision making device to further analyze the sampled data to determine the unauthorized intrusion. 3. The system according to claim 1 , wherein the emulator is configured to perform emulation offline and update the grammar based compression and learning algorithm at a later time to detect future intrusion.