Abstract: Techniques for countering cheats in a multi-player gaming environment are described herein. In accordance with various embodiments, a server includes a cheating analyzer running on processor(s) and a non-transitory memory for storing cheat data and counter cheat data. The server identifies suspected cheating in a game and determines a probability of the suspected cheating based on the cheat data. The server also selects a counter cheat of the suspected cheating corresponding to the probability value based on the cheat data and the counter cheat data. The server then applies the counter cheat approximate the probability value in the game. In some embodiments, the server deploys local copies of the cheating analyzer to client devices, including sending at least a portion of the cheat data and/or counter cheat data. The local copies facilitate the cheat identification, the probability determination, the counter cheat selection, and/or the application of the counter cheat.

Abstract: Techniques for countering cheats in a multi-player gaming environment are described herein. In accordance with various embodiments, a server includes a cheating analyzer running on processor(s) and a non-transitory memory for storing cheat data and counter cheat data. The server identifies suspected cheating in a game and determines a probability of the suspected cheating based on the cheat data. The server also selects a counter cheat of the suspected cheating corresponding to the probability value based on the cheat data and the counter cheat data. The server then applies the counter cheat approximate the probability value in the game. In some embodiments, the server deploys local copies of the cheating analyzer to client devices, including sending at least a portion of the cheat data and/or counter cheat data. The local copies facilitate the cheat identification, the probability determination, the counter cheat selection, and/or the application of the counter cheat.

Abstract: Techniques for enhancing security for thin client devices in hybrid edge cloud systems are described. In accordance with various embodiments, the hybrid system includes a cloud computing platform (e.g., the cloud) and an edge device (e.g., the edge). The cloud extracts key(s) for authentication and session establishment. The cloud also utilizes the key(s) to establish a session between the edge and a client device. The cloud additionally authorizes a content request from the client device for a media content item over the session and extracts a content key upon successful authorization. The edge caches the key(s), obtains the content key at the time of receiving the content request from the client device and transmits the content key and the key(s) with the media content item to the client device.

Abstract: Techniques for media content tamper protection and detection are described. In some embodiments, the protection method is performed at an encoder. The encoder obtains a first sequence of signatures within a group of pictures and a second sequence of signatures for audio frames corresponding to the group of pictures. The encoder then combines the first sequence of signatures and the second sequence of signatures to generate a combined signature, and the combined signature is then embedded in a transport stream for transmission to a client device. In some embodiments, the detection method is performed at a client device, where the client device, in response to detecting a first message in the transport stream, starts calculation of signatures for a group of pictures and corresponding audio frames. The client device then uses the calculated signatures to validate an expected signature for the group of pictures and the corresponding audio frames.

Abstract: Techniques for media content tamper protection and detection are described. In some embodiments, the protection method is performed at an encoder. The encoder obtains a first sequence of signatures within a group of pictures and a second sequence of signatures for audio frames corresponding to the group of pictures. The encoder then combines the first sequence of signatures and the second sequence of signatures to generate a combined signature, and the combined signature is then embedded in a transport stream for transmission to a client device. In some embodiments, the detection method is performed at a client device, where the client device, in response to detecting a first message in the transport stream, starts calculation of signatures for a group of pictures and corresponding audio frames. The client device then uses the calculated signatures to validate an expected signature for the group of pictures and the corresponding audio frames.

Abstract: There are provided methods and systems for managing service requests of patients and staff in a hospital and generating a matching dynamic interface, the method comprising: receiving or obtaining via the network from the patient' devices service requests; receiving or obtaining, patient inputs and general inputs from one or more resources; receiving or obtaining staff inputs; analyzing the received and obtained service requests, data inputs, staff inputs and general inputs using one or more analyzer modules to yield analysis results; categorizing the analysis results to groups categories and generating for each of the categorized groups the matching dynamic interface based on the analysis results.

Abstract: A system for tracking objects, in which each object has a wireless connected tag attached to it, and a motion detector. The tags transmit the identity of the object to a tag reader only when object motion is detected. The system includes an optical imaging system for surveilling the area, which optically detects and characterizes any motion in the area. The system control unit correlates the information from the tag reader and the optical motion sensor and thus associates each tag detected wirelessly to the optically detected motion, such that the identity of the optically detected motion is determined even without clear optical identification. This correlation may be performed by comparison of the time of detection of information from the tag reader with that of the optically detected motion. The system can be used in tracking objects such as toys whose identity cannot be determined by visual imaging.