Tweenznet Ltd.

Oovoo LLC

Eyal Elyashiv

Aviv Yehezkel

Eliezer Upfal

Chang Feng

Asher Shiratzky

Systems and methods of discovering computer network assets, including: identifying, by a processor, in sampled traffic over at least one computer network, an internet protocol (IP) address of a node communicating over at least one port, wherein the at least one port is associated with an asset type, determining, by the processor, a volume of traffic associated with the IP address of the node communicating over the at least one port, discovering, by the processor, the IP address of the node as belonging to an asset of the asset type, based on the volume of traffic exceeding a dynamic threshold, and adding the asset, by the processor, to a list of discovered assets.

System and method of discovering a network asset from a network sample

Systems and methods of determining file-access patterns in at least one computer network, the network comprising a file-access server, including training a first machine learning (ML) algorithm with a first training dataset comprising vectors representing network traffic such that the first ML algorithm learns to determine network characteristics associated with file-access traffic, determining, using the first ML algorithm, network characteristics based on highest interaction of traffic with the file-access server compared to other interactions in the at least one computer network, and determining file-access patterns in the at least one computer network based on the network characteristics associated with file-access traffic.

System and method for determining a file-access pattern and detecting ransomware attacks in at least one computer network

Systems and methods of determining a network performance property in at least one computer network, including: sampling traffic in active communication with the at least one computer network, analyzing the sampled traffic to group communication packets to flows, and predicting at least one network property of the at least one network based on the grouped communication packets and based on at least one traffic parameter in the at least one network, where the at least one traffic parameter is selected from the group consisting of: union of packet streams, intersection of packet streams, and differences of packet streams, and where the predicted at least one network property is selected from the group consisting of: total number of flows, number of flows with a predefined characteristic, number of packets, and volume of packets.

System and method for determining a network performance property in at least one network

A video teleconferencing system which allows a mobile device to conduct teleconferences over fixed and mobile packet networks with end points with other mobile devices or a personal computer. The mobile device includes a user interface that displays a video image associated with a first participant. A selectable user interface element corresponding to a second participant video image may be displayed on the user interface and in response to selection of the selectable user interface element, a video image associated with the second participant may be displayed.

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Ramat Hasharon, Israel

Eyal Elyashiv