System to identify unknown communication behavior relationships from time series

    公开(公告)号:US10528600B1

    公开(公告)日:2020-01-07

    申请号:US16034139

    申请日:2018-07-12

    Abstract: Described is a system for identifying communication behavior patterns in communication activity time series. For each pair of variables in the communication activity time series, the system determines a transfer entropy measure, an effective transfer entropy measure from a randomly reordered version of the communication activity time series, and a partial effective transfer entropy measure. A dependency matrix is generated using pair-wised effective transfer entropy measures and partial effective transfer entropy measures, where each element in the matrix represents a total influence of a communication activity time series on another communication activity time series in the future. The dependency matrix is compared with dependency matrices generated from a predefined set of communication patterns to identify the communication behavior pattern. The system generates instructions regarding positioning of a sensor, such that the instructions provide guidance regarding placement of the sensor at a geographical region related to the identified communication pattern.

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