Abstract: Methods and systems for the detection, identification, analysis of cybersecurity events in order to support prevention of the persistence of threats, malware or other harmful events are provided. The methods and systems of the present invention enable a user to find similar anomalous network traffic within a single network or across multiple networks. The methods and systems identify and correlate activity in order to analyze potential threats within a network by providing broader contextual information about how those threats relate to other activity within the network or across a sector or country.

Abstract: Methods and systems for the detection, identification, analysis of cybersecurity events in order to support prevention of the persistence of threats, malware or other harmful events are provided. The methods and systems of the present invention enable a user to find similar anomalous network traffic within a single network or across multiple networks. The methods and systems identify and correlate activity in order to analyze potential threats within a network by providing broader contextual information about how those threats relate to other activity within the network or across a sector or country.

Abstract: Methods and systems for the detection, identification, analysis of cybersecurity events in order to support prevention of the persistence of threats, malware or other harmful events are provided. The methods and systems of the present invention enable a user to find similar anomalous network traffic within a single network or across multiple networks. The methods and systems identify and correlate activity in order to analyze potential threats within a network by providing broader contextual information about how those threats relate to other activity within the network or across a sector or country.

Abstract: Methods and systems for the detection, identification, analysis of cybersecurity events in order to support prevention of the persistence of threats, malware or other harmful events are provided. The methods and systems of the present invention enable a user to find similar anomalous network traffic within a single network or across multiple networks. The methods and systems identify and correlate activity in order to analyze potential threats within a network by providing broader contextual information about how those threats relate to other activity within the network or across a sector or country.

Abstract: A method of recognizing speech. The method includes the steps of obtaining an auditory signal; processing the auditory signal into a plurality of frequency components; processing the plurality of frequency components using a plurality of feature detectors, each feature detector producing a feature detector response; generating a spike for each instance in which a feature detector response identifies a characteristic auditory feature to produce a test spike pattern for the auditory signal; and comparing the test spike pattern to a plurality of predetermined spike patterns corresponding to a plurality of speech elements to determine whether the auditory signal includes one of the plurality of speech elements.

Abstract: A method of recognizing speech. The method includes the steps of obtaining an auditory signal; processing the auditory signal into a plurality of frequency components; processing the plurality of frequency components using a plurality of feature detectors, each feature detector producing a feature detector response; generating a spike for each instance in which a feature detector response identifies a characteristic auditory feature to produce a test spike pattern for the auditory signal; and comparing the test spike pattern to a plurality of predetermined spike patterns corresponding to a plurality of speech elements to determine whether the auditory signal includes one of the plurality of speech elements.