Abstract:
A monitoring system that receives messages that are exchanged with the application server. Relationships between users are posited in response to the times at which the messages are received. A relationship between two users may be posited in response to receiving, at approximately the same time, two messages from the application server that are destined, respectively, for the two users. The near-simultaneous receipt of the two messages indicates that the two messages were sent from the server at approximately the same time, which, in turn, indicates that the two messages may correlate with one another. Further indication of a correlation between the messages, which may increase the level of confidence with which the relationship between the two users is posited, may be found by examining the respective sizes of the messages, which indicate the message types.
Abstract:
A subject can be tracking using a plurality of physical video monitoring or image acquisition devices deployed in a delimited area. A map represents the delimited area. Icons representing the physical monitoring devices can be placed and configured on the map representing the delimited area. Some or all of the placed and configured video monitoring devices can be logically linked together to form scenes. The video feed from the physical video monitoring devices may be recorded in stable storage. A layout for display of the video feeds may be selected. Upon playing the video feed, whether live or recorded, a subject can be tracked through the delimited area by selecting one of the video monitoring devices in one of the available scenes.
Abstract:
Methods and systems for analyzing network traffic. An analysis system receives network traffic, which complies with a certain protocol. The received network traffic carries a data item, which may be of value to an analyst. In order to access the data item in question, the analysis system automatically identifies the media type of the data item, by processing the network traffic without decoding the protocol. The analysis system identifies the media type irrespective of the protocol in order to avoid the computational complexity involved in decoding the protocol.
Abstract:
Methods and systems for analyzing network traffic. An analysis system receives network traffic, which complies with a certain protocol. The received network traffic carries a data item, which may be of value to an analyst. In order to access the data item in question, the analysis system automatically identifies the media type of the data item, by processing the network traffic irrespective of the protocol. The analysis system identifies the media type irrespective of the protocol in order to avoid the computational complexity involved in decoding the protocol.
Abstract:
A monitoring system that receives messages that are exchanged with the application server. Relationships between users are posited in response to the times at which the messages are received. A relationship between two users may be posited in response to receiving, at approximately the same time, two messages from the application server that are destined, respectively, for the two users. The near-simultaneous receipt of the two messages indicates that the two messages were sent from the server at approximately the same time, which, in turn, indicates that the two messages may correlate with one another. Further indication of a correlation between the messages, which may increase the level of confidence with which the relationship between the two users is posited, may be found by examining the respective sizes of the messages, which indicate the message types.
Abstract:
A system for identifying related pairs of information items. In a context, monitoring devices acquire various information items by monitoring people over time. Such information items may include imaged features of the people, alphanumeric identifiers such as IMSIs, and/or the certain types of events. The system identifies, based on the monitored information, indications of relatedness, each of which indicates that a respective pair of the information items may be related to one another with respect to certain predefined criteria. For example, the processor may identify instances of copresence, in each of which a pair of information items were exhibited at approximately the same time and at approximately the same location. In response to identifying a sufficient number of indications of relatedness for any particular pair, the processor may hypothesize that the pair are related to one another.
Abstract:
A subject can be tracking using a plurality of physical video monitoring or image acquisition devices deployed in a delimited area. A map represents the delimited area. Icons representing the physical monitoring devices can be placed and configured on the map representing the delimited area. Some or all of the placed and configured video monitoring devices can be logically linked together to form scenes. The video feed from the physical video monitoring devices may be recorded in stable storage. A layout for display of the video feeds may be selected. Upon playing the video feed, whether live or recorded, a subject can be tracked through the delimited area by selecting one of the video monitoring devices in one of the available scenes.
Abstract:
A subject can be tracking using a plurality of physical video monitoring or image acquisition devices deployed in a delimited area. A map represents the delimited area. Icons representing the physical monitoring devices can be placed and configured on the map representing the delimited area. Some or all of the placed and configured video monitoring devices can be logically linked together to form scenes. The video feed from the physical video monitoring devices may be recorded in stable storage. A layout for display of the video feeds may be selected. Upon playing the video feed, whether live or recorded, a subject can be tracked through the delimited area by selecting one of the video monitoring devices in one of the available scenes.
Abstract:
A subject can be tracking using a plurality of physical video monitoring or image acquisition devices deployed in a delimited area. A map represents the delimited area. Icons representing the physical monitoring devices can be placed and configured on the map representing the delimited area. Some or all of the placed and configured video monitoring devices can be logically linked together to form scenes. The video feed from the physical video monitoring devices may be recorded in stable storage. A layout for display of the video feeds may be selected. Upon playing the video feed, whether live or recorded, a subject can be tracked through the delimited area by selecting one of the video monitoring devices in one of the available scenes.
Abstract:
A subject can be tracking using a plurality of physical video monitoring or image acquisition devices deployed in a delimited area. A map represents the delimited area. Icons representing the physical monitoring devices can be placed and configured on the map representing the delimited area. Some or all of the placed and configured video monitoring devices can be logically linked together to form scenes. The video feed from the physical video monitoring devices may be recorded in stable storage. A layout for display of the video feeds may be selected. Upon playing the video feed, whether live or recorded, a subject can be tracked through the delimited area by selecting one of the video monitoring devices in one of the available scenes.