Abstract: Anti-collusion techniques that use multiple watermark images are described herein. In accordance with various embodiments, a client device includes a processor and a non-transitory memory. The client device obtains a watermark image representing a watermark identifier. The client device further generates multiple variants of the watermark image representing the watermark identifier, where the multiple variants differ in parameters. The client device also selects a first variant from the multiple variants to bind with a media content item at a first time. The client device additionally binds the first variant with the media content item for rendering.

Abstract: Anti-piracy techniques described herein are performed on a server that includes one or more processors and a non-transitory memory. The server enters a state to accumulate a portion of a bitstream extracted from parts of a clip obtained from a pirate service. The server then identifies a set of suspected piracy devices for the piracy service based on a confidence score of suspected piracy calculated for each client using the accumulated portion of the bitstream exceeding a threshold set relative to the state. The server additionally determines whether or not the set of suspected piracy devices for the pirate service satisfies a stable collusion state criterion corresponding to the state. The server enters a next state to iteratively perform the accumulating and the identifying upon determining the set of suspected piracy devices for the pirate service not satisfying the stable collusion state criterion corresponding to the state.

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: 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: An improved system for processing at least partially structured data includes a method for comparing a population of terms in a term repository, including standardizing each term within the population of terms based on at least one standardization rule. The method also includes comparing at least a pair of terms including determining a match between the terms if, once standardized, they are substantially identical.

Abstract: An improved system for processing at least partially structured data includes a method for comparing a population of terms in a term repository, including standardizing each term within the population of terms based on at least one standardization rule. The method also includes comparing at least a pair of terms including determining a match between the terms if, once standardized, they are substantially identical.