Abstract: The improved detection of malicious processes executing on a networked computing device is provided. An agent running on the networked computing device monitors the communications transmitted to devices outside of the network to determine whether the process is likely using a periodic beacon signal to communicate with an external control center associated with a potentially malicious party. The agent maintains a dictionary data structure of objects, identifiable by the process identifier and the remote device's address, to track a given process/destination group's communication history. The communication history is updated when new messages are identified for periodic patterns to be identified for the messages, which may be used to identify a process as potentially malicious.

Abstract: The improved detection of malicious processes executing on a networked computing device is provided. An agent running on the networked computing device monitors the communications transmitted to devices outside of the network to determine whether the process is likely using a periodic beacon signal to communicate with an external control center associated with a potentially malicious party. The agent maintains a dictionary data structure of objects, identifiable by the process identifier and the remote device's address, to track a given process/destination group's communication history. The communication history is updated when new messages are identified for periodic patterns to be identified for the messages, which may be used to identify a process as potentially malicious.

Abstract: The improved detection of malicious processes executing on a networked computing device is provided. An agent running on the networked computing device monitors the communications transmitted to devices outside of the network to determine whether the process is likely using a periodic beacon signal to communicate with an external control center associated with a potentially malicious party. The agent maintains a dictionary data structure of objects, identifiable by the process identifier and the remote device's address, to track a given process/destination group's communication history. The communication history is updated when new messages are identified for periodic patterns to be identified for the messages, which may be used to identify a process as potentially malicious.

Abstract: A modular pipeline for event management in a computer environment is provided to enable the high volume of events that may be relevant to the security and stability of that environment to be gathered and analyzed for relevancy in a lower volume format. The modular pipeline enables event collection to meet various use cases so that the data comprising the events may be held and transmitted in a reduced volume format so that the relevancy of the events, rather than the events themselves, may be used by various systems with less transmission overhead and greater responsiveness. Aspects of the modular pipeline streamline and optimize the performance of a computing device within a network environment and provide for additional analytics of that environment.

Abstract: The improved detection of malicious processes executing on a networked computing device is provided. An agent running on the networked computing device monitors the communications transmitted to devices outside of the network to determine whether the process is likely using a periodic beacon signal to communicate with an external control center associated with a potentially malicious party. The agent maintains a dictionary data structure of objects, identifiable by the process identifier and the remote device's address, to track a given process/destination group's communication history. The communication history is updated when new messages are identified for periodic patterns to be identified for the messages, which may be used to identify a process as potentially malicious.

Abstract: A modular pipeline for event management in a computer environment is provided to enable the high volume of events that may be relevant to the security and stability of that environment to be gathered and analyzed for relevancy in a lower volume format. The modular pipeline enables event collection to meet various use cases so that the data comprising the events may be held and transmitted in a reduced volume format so that the relevancy of the events, rather than the events themselves, may be used by various systems with less transmission overhead and greater responsiveness. Aspects of the modular pipeline streamline and optimize the performance of a computing device within a network environment and provide for additional analytics of that environment.