Abstract: A method and system for dynamic detection of network protocols are provided. Data is received from a device, wherein the data does not specifically identify a protocol for communication. The data is analyzed to determine a communication protocol associated with a connection. A response is transmitted to the device using the determined communication protocol.

Abstract: Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Abstract: Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Abstract: Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Abstract: Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Abstract: Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Abstract: Methods, systems, and computer-readable media for identifying potential threats on a network based on anomalous behavior in communication between endpoints are provided. Traffic data for a network is accumulated over some period of time. The traffic data is grouped by one or more keys, such as source IP address, and sets of metric values are calculated for the keys. A mixture distribution, such as a negative binomial mixture distribution, is fitted to each set of metric values, and outlying metric values are determined based on the mixture distribution(s). A list of outliers is then generated comprising key values having outlying metric values in one or more of the sets of metric values.

Abstract: A method and system for dynamic detection of network protocols are provided. Data is received from a device, wherein the data does not specifically identify a protocol for communication. The data is analyzed to determine a communication protocol associated with a connection. A response is transmitted to the device using the determined communication protocol.

Abstract: A method of operating an appliance in a communication network includes receiving policy information associated with at least one network access account from a responsible party associated with the account, the policy information restricting and/or expanding allowable use of the communication network, and controlling access to the communication network based on the received policy information.