Abstract: A computer-implemented method including, submitting a payment transaction through a network to a merchant website; receiving the payment transaction by a widget program on the merchant website; submitting, a payment transaction request through the network to a backend application; receiving, the payment transaction request; issuing and submitting a transaction identification number through the network to the widget program; creating a matrix barcode from the transaction identification number; scanning the matrix barcode using a mobile computing device; activating a mobile application to receive payment and receiving payment data from a payment card having a card microchip communicating with an EMV library non-embedded in the mobile application; encrypting the payment data and sending the payment data to the backend application; the backend application submitting the payment data to a payment service provider; receiving the payment transaction results; and notifying the widget program and the mobile applicatio

Abstract: A method for identifying from among network-connected devices a particular device likely associated with a theft of distributed content includes obtaining content, the content having been distributed from a particular one of the network-connected devices, identifying in the obtained content anti-collusion codes, and determining the particular one of the network-connected devices is likely associated with the theft of distributed content when an aggregated probability calculated using the identified anti-collusion codes is equal to or exceeds a predetermined threshold.

Abstract: Context-aware authentication may be provided. First, a request may be received for content service. The request may comprise information associated with a context of a household from which the request came. Next, the request may be authenticated based on the information associated with the context of the household from which the request came. Then the content service may be provided in response to authenticating the request.

Abstract: A method prompts a user to provide first credentials, receives the first credentials, and using an initial verification process including at least one of validity, a uniqueness, a suspicious contextual detection, or statistical recurrence verification, to verify the first credentials based on stored data. Based on a negative result of the initial verification process, the method prompts the user to provide second credentials, receives the second credentials, and validates the second credentials based on the stored data. The method registers the user for a service based on a positive result of the initial verification process or a positive result of the second strong validation process, refusing to register the user for the service based on a negative result of the initial verification process and the negative result of the second strong validation process, and blacklisting the verified second credentials upon registering the user.

Abstract: A method for providing data to a device includes receiving a location of the device, determining a network cell associated with the location, determining network traffic at the network cell and at other network cells, receiving a request for a data stream from the device, and optimizing a net user satisfaction by selecting a bitrate for the data stream based on a plurality of bitrates associated with streaming to other devices located within the network cell and the network traffic at the other network cells, wherein the net user satisfaction is an average of user satisfactions.

Abstract: A method for identifying from among network-connected devices a particular device likely associated with a theft of distributed content includes obtaining content, the content having been distributed from a particular one of the network-connected devices, identifying in the obtained content anti-collusion codes, and determining the particular one of the network-connected devices is likely associated with the theft of distributed content when an aggregated probability calculated using the identified anti-collusion codes is equal to or exceeds a predetermined threshold.

Abstract: In one embodiment, a method performed by a system that includes at least one processor, the method comprising: obtaining subscriber data of a plurality of subscribers, wherein said subscriber data comprises at least one of: consumption data relating to subscribed content consumption by said plurality of subscribers, or network data relating to data transmittal via one or more computer networks by the plurality of subscribers; detecting anomalous data by comparing subscriber data of different subscribers in the plurality of subscribers; identifying one or more suspected subscribers out of the plurality of subscribers as being suspected of unauthorized subscribed content distribution, the one of more suspected subscribers being associated with the anomalous data; and providing a respective identity for the one or more suspected subscribers.

Abstract: In one embodiment, a device discovery system includes a data storage medium to store a clustered data structure including device signatures grouped according to clusters. Each device signature includes device information. Each cluster from a sub-set of the clusters has a different device name. The system also includes an input/output sub-system to receive, from a remote device, a first device signature describing information about a first device, and a processor to perform a decision process based on the clustered data structure with the first device signature as input yielding an output including a first device name or an indication that a name associated with the first device signature is unknown. The processor is operative to prepare a response message including data about the output. The input/output sub-system is operative to send the response message to the remote device.

Abstract: In one embodiment, a method, system and apparatus are described for cloud digital video recorder optimization. A cloud based storage unit stores recorded content items in response to recording requests by users from among a plurality of users, each recorded content item belonging to at least one content item type category and each user belonging to at least one user type category. A processor receives log files tracking the recording requests, applies a data-driven procedure to the log files on a basis of at least one of: the at least one content item type category and the at least one user type category, and assigns each recorded content item to a group associated with a second plurality of users and a co-related group of content items of a given content item type category and determines times to delete each recorded content item from the cloud based storage unit. Related methods, systems, and apparatus are also described.

Abstract: A method for providing data to a device includes receiving a location of the device, determining a network cell associated with the location, determining network traffic at the network cell and at other network cells, receiving a request for a data stream from the device, and optimizing a net user satisfaction by selecting a bitrate for the data stream based on a plurality of bitrates associated with streaming to other devices located within the network cell and the network traffic at the other network cells, wherein the net user satisfaction is an average of user satisfactions.

Abstract: A system includes a network gateway in communication with a plurality of servers, a household behavior model processor which models a household behavior model based at least on expected usage of each of a plurality of network appliances, wherein each one appliance of the plurality of network appliances is associated with one of the plurality of servers, and behavior of users associated with the network gateway, an anomaly detector which determines, on the basis of the household behavior model, if an anomalous control message which has been sent to one of the plurality of network appliances from one of the servers has been received at the network gateway, and a notification server which sends a notification to an application on an administrator's device upon receipt of the anomalous control message at the network gateway. Related systems, apparatus, and methods are also described.

Abstract: A content processing system obtains an identification associated with a device configured to receive content, generates a digital watermark reflecting the receiving device's identification, provides watermarked content by including the digital watermark in the content, and transmits the watermarked content from an edge computing device to the receiving device for the playback. The digital watermark is not visually observable during playback of the watermarked content, and it enables tracking of transmission of the watermarked content.

Abstract: A method prompts a user to provide first credentials, receives the first credentials, and using an initial verification process including at least one of validity, a uniqueness, a suspicious contextual detection, or statistical recurrence verification, to verify the first credentials based on stored data. Based on a negative result of the initial verification process, the method prompts the user to provide second credentials, receives the second credentials, and validates the second credentials based on the stored data. The method registers the user for a service based on a positive result of the initial verification process or a positive result of the second strong validation process, refusing to register the user for the service based on a negative result of the initial verification process and the negative result of the second strong validation process, and blacklisting the verified second credentials upon registering the user.

Abstract: A content processing system obtains an identification associated with a device configured to receive content, generates a digital watermark reflecting the receiving device's identification, provides watermarked content by including the digital watermark in the content, and transmits the watermarked content from an edge computing device to the receiving device for the playback. The digital watermark is not visually observable during playback of the watermarked content, and it enables tracking of transmission of the watermarked content.

Abstract: In one example, a method includes for each one time period of a plurality of time periods performing a weighted random selection of a first set of intrusion detection/protection system rules from a plurality of rules, each rule of the plurality of rules having an associated probability of selection, preparing a packet inspection plan including the first set of intrusion detection/protection system rules, and sending the packet inspection plan to a network distribution device to inspect packets according to the packet inspection plan. Related apparatus and methods are also described.

Abstract: In one embodiment, a method performed by a system that includes at least one processor, the method comprising: obtaining subscriber data of a plurality of subscribers, wherein said subscriber data comprises at least one of: consumption data relating to subscribed content consumption by said plurality of subscribers, or network data relating to data transmittal via one or more computer networks by the plurality of subscribers; detecting anomalous data by comparing subscriber data of different subscribers in the plurality of subscribers; identifying one or more suspected subscribers out of the plurality of subscribers as being suspected of unauthorized subscribed content distribution, the one of more suspected subscribers being associated with the anomalous data; and providing a respective identity for the one or more suspected subscribers.

Abstract: In one embodiment, a method, system and apparatus are described for cloud digital video recorder optimization. A cloud based storage unit stores recorded content items in response to recording requests by users from among a plurality of users, each recorded content item belonging to at least one content item type category and each user belonging to at least one user type category. A processor receives log files tracking the recording requests, applies a data-driven procedure to the log files on a basis of at least one of: the at least one content item type category and the at least one user type category, and assigns each recorded content item to a group associated with a second plurality of users and a co-related group of content items of a given content item type category and determines times to delete each recorded content item from the cloud based storage unit. Related methods, systems, and apparatus are also described.

Abstract: In one embodiment, a method performed by a system that includes at least one processor, the method comprising: obtaining subscriber data of a plurality of subscribers, wherein said subscriber data comprises at least one of: consumption data relating to subscribed content consumption by said plurality of subscribers, or network data relating to data transmittal via one or more computer networks by the plurality of subscribers; detecting anomalous data by comparing subscriber data of different subscribers in the plurality of subscribers; identifying one or more suspected subscribers out of the plurality of subscribers as being suspected of unauthorized subscribed content distribution, the one of more suspected subscribers being associated with the anomalous data; and providing a respective identity for the one or more suspected subscribers.

Abstract: In one embodiment, a method, system and apparatus are described for cloud digital video recorder optimization. A cloud based storage unit stores recorded content items in response to recording requests by users from among a plurality of users, each recorded content item belonging to at least one content item type category and each user belonging to at least one user type category. A processor receives log files tracking the recording requests, applies a data-driven procedure to the log files on a basis of at least one of: the at least one content item type category and the at least one user type category, and assigns each recorded content item to a group associated with a second plurality of users and a co-related group of content items of a given content item type category and determines times to delete each recorded content item from the cloud based storage unit. Related methods, systems, and apparatus are also described.

Abstract: A system includes a network gateway in communication with a plurality of servers, a household behavior model processor which models a household behavior model based at least on expected usage of each of a plurality of network appliances, wherein each one appliance of the plurality of network appliances is associated with one of the plurality of servers, and behavior of users associated with the network gateway, an anomaly detector which determines, on the basis of the household behavior model, if an anomalous control message which has been sent to one of the plurality of network appliances from one of the servers has been received at the network gateway, and a notification server which sends a notification to an application on an administrator's device upon receipt of the anomalous control message at the network gateway. Related systems, apparatus, and methods are also described.