Patents Assigned to Cyberricade, Inc.
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Publication number: 20180181749Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).Type: ApplicationFiled: January 29, 2018Publication date: June 28, 2018Applicant: Cyberricade, Inc.Inventors: Richard M. Kolacinski, Barry D. Angeline, Kenneth A. Loparo
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Patent number: 9910980Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).Type: GrantFiled: January 3, 2017Date of Patent: March 6, 2018Assignee: Cyberricade, Inc.Inventors: Richard M. Kolacinski, Barry D. Angeline, Kenneth A. Loparo
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Publication number: 20170109524Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).Type: ApplicationFiled: January 3, 2017Publication date: April 20, 2017Applicant: Cyberricade, Inc.Inventors: Richard M. Kolacinski, Barry D. Angeline, Kenneth A. Loparo
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Patent number: 9569615Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).Type: GrantFiled: May 12, 2016Date of Patent: February 14, 2017Assignee: Cyberricade, Inc.Inventors: Richard M. Kolacinski, Barry D. Angeline, Kenneth A. Loparo
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Publication number: 20160253495Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).Type: ApplicationFiled: May 12, 2016Publication date: September 1, 2016Applicant: Cyberricade, Inc.Inventors: Richard M. Kolacinski, Barry D. Angeline, Kenneth A. Loparo
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Patent number: 9367683Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).Type: GrantFiled: March 14, 2014Date of Patent: June 14, 2016Assignee: Cyberricade, Inc.Inventors: Richard M. Kolacinski, Barry D. Angeline, Kenneth A. Loparo
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Publication number: 20150096026Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).Type: ApplicationFiled: March 14, 2014Publication date: April 2, 2015Applicant: Cyberricade, Inc.Inventors: Richard M. Kolacinski, Barry D. Angeline, Kenneth A. Loparo