ANOMALY DETECTION IN PROTOCOL PROCESSES
Systems, methods and transitory computer-readable storage media for constructing a loop free multicast tree. The methods include collecting data sample points to form a first data set, each of the data sample points representing a network feature variable, each network feature variable associated wi...
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Format | Patent |
Language | English French German |
Published |
06.01.2021
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Abstract | Systems, methods and transitory computer-readable storage media for constructing a loop free multicast tree. The methods include collecting data sample points to form a first data set, each of the data sample points representing a network feature variable, each network feature variable associated with a corresponding network feature, calculating a standard deviation and a mean value of the network feature variables for each network feature, performing normalization of the network feature variables to obtain normalized network feature variables, calculating, using the standard deviation and the mean value for each network feature, a probability value (p-value) for each normalized network feature variable, and determining if an anomaly exists with respect to each network feature based at least upon the p-value for each normalized network feature variable. |
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AbstractList | Systems, methods and transitory computer-readable storage media for constructing a loop free multicast tree. The methods include collecting data sample points to form a first data set, each of the data sample points representing a network feature variable, each network feature variable associated with a corresponding network feature, calculating a standard deviation and a mean value of the network feature variables for each network feature, performing normalization of the network feature variables to obtain normalized network feature variables, calculating, using the standard deviation and the mean value for each network feature, a probability value (p-value) for each normalized network feature variable, and determining if an anomaly exists with respect to each network feature based at least upon the p-value for each normalized network feature variable. |
Author | KULKARNI, Gautam Sanjiv PANI, Ayaskant |
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DocumentTitleAlternate | ANOMALIEDETEKTION IN PROTOKOLLPROZESSEN DÉTECTION D'ANOMALIE DANS DES PROCESSUS DE PROTOCOLE |
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RelatedCompanies | Cisco Technology, Inc |
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SubjectTerms | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
Title | ANOMALY DETECTION IN PROTOCOL PROCESSES |
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