Abstract: The present disclosure provides method and system for a processor configured to receive, via a communication interface, cellular communication exchanged over at least one cellular network and fixed-network communication exchanged with a router connected to a fixed network. The method and system further correlating between the cellular communication and the fixed-network communication, and computing respective likelihoods for multiple cellular devices having connected to the fixed network via the router. In response to computing the likelihoods, compute one or more estimated properties associated with the router, and output the estimated properties.

Abstract: The present disclosure provides method and system for tracking cellular devices by a processor configured to receiving communications via communications interface of cellular communication packets exchanged over a cellular network and fixed-network communication packets exchanged with a router connected to a fixed network; identifying, in the cellular communication packets, data items exchanged with a cellular device at a cellular-communication time. The method and system then identifies the data item in the fixed-network communication packets, and in response to identifying the data item in both the cellular communication packets and the fixed-network communication packets, and based on a difference between the cellular-communication time and a fixed-network-communication time at which the data item was exchanged with the router, calculate a likelihood that the cellular device was connected to the fixed network via the router at the fixed-network-communication time, and output the likelihood.

Abstract: System and method to receive respective copies of communication packets exchanged, over a network, with respective communication endpoints belonging to respective servers, the packets containing respective endpoint identifiers, each of which includes a respective Internet Protocol (IP) address and port number identifying the communication endpoint with which the packet containing the endpoint identifier was exchanged. The processor is further configured to ascertain respective services that use the communication endpoints, by communicating investigative traffic over the network. The processor is further configured to store an association between the communication endpoints and the services, respectively, in the memory, in response to ascertaining the services.

Abstract: A system and method for training set of images in which objects of a particular class are identified and using the training set train a model to identify other objects of the class and a candidate object. Calculating a feature vector describing candidate object identified in an image and further calculating a score regarding the similarity between the feature vector and another feature vector describing the identified objects in the training set, and provided that the score passes a predefined threshold, adding the image to the training set, and using the augmented training set, retrain the model.