Abstract: A medical terminology management and translation system that is cloud-based, on-demand, and allows semantic translations of medical terminologies and corresponding healthcare controlled medical vocabularies. A multiple-layer domain structure is provided for the database that designates whether data is to be added or changed, locates where the data exists in the database, and presents the new or substituted data. A semantic data structure and process calculates the probability that an entry matches the particular terminology in a database library and uses the most likely correct answer. Concepts are also employed for particular terminology, handling terms with two or more meanings, and the terminology is mapped according to the concept.

Abstract: Method, system and computer-readable device to locate a prefix hijacker of a destination prefix within a one-hop neighborhood. The method includes generating one-hop neighborhoods from autonomous system-level paths associated with a plurality of monitors to a destination prefix. The method also includes determining a suspect set of autonomous system identifiers resulting from a union of the one-hop neighborhoods. The method further includes calculating a count and a distance associated with each autonomous system identifier in the suspect set of autonomous system identifiers. The count represents how often an autonomous system identifier appears in the one-hop neighborhoods. The distance represents a total number of autonomous system identifiers from the autonomous system identifier to autonomous system identifiers associated with the plurality of monitors.

Abstract: Systems and methods to model user activity information associated with a network system are provided. A particular method includes receiving, at a computing device, a request for user activity information associated with selected channels of a television access network that provides multimedia content to users. The method includes executing a model of user activity associated with the television access network at the computing device. The model estimates the user activity information as user multimedia access demands during particular time periods within a day. The method also includes storing the user activity information at a computer-readable non-transitory storage medium.

Abstract: Method, system and computer-readable medium to locate a prefix hijacker of a destination prefix within a one-hop neighborhood on a network. The method includes generating one-hop neighborhoods from autonomous system (AS)-level paths of plural monitors to a destination prefix. The method also includes determining a suspect set of AS identifiers resulting from a union of the one-hop neighborhoods. The method further includes calculating a count and a distance associated with each AS identifier of the suspect set. The count indicates how often the AS identifier appeared in the one-hop neighborhoods. The distance indicates a total distance from the AS identifier to AS identifiers associated with the plural monitors. Yet further, the method includes generating a one-hop suspect set of AS identifiers from the suspect set that have highest counts and highest distances.

Abstract: Method, system and computer-readable medium to select monitors that increase the likelihood of detecting prefix hijacking events of a destination prefix are disclosed. The method includes assigning each of the candidate prefix hijack monitors to a respective cluster of a plurality of clusters. Each of the candidate prefix hijack monitors is associated with an autonomous system (AS) that indicates an AS path of autonomous systems (ASes) from the AS to a destination prefix associated with a destination AS. The method further includes iteratively merging a pair of clusters with a highest similarity score amongst cluster pairs of the plurality of clusters into a single cluster until a processed number of clusters is less than or equal to a predetermined number of clusters.

Abstract: Systems and methods to model user activity information associated with a network system are provided. A particular method includes receiving, at a computing device, a request for user activity information associated with selected channels of a television access network that provides multimedia content to users. The method includes executing a model of user activity associated with the television access network at the computing device. The model estimates the user activity information as user multimedia access demands during particular time periods within a day. The method also includes storing the user activity information at a computer-readable non-transitory storage medium.

Abstract: Method, system and computer-readable medium to locate a prefix hijacker of a destination prefix within a one-hop neighborhood on a network. The method includes generating one-hop neighborhoods from autonomous system (AS)-level paths of plural monitors to a destination prefix. The method also includes determining a suspect set of AS identifiers resulting from a union of the one-hop neighborhoods. The method further includes calculating a count and a distance associated with each AS identifier of the suspect set. The count indicates how often the AS identifier appeared in the one-hop neighborhoods. The distance indicates a total distance from the AS identifier to AS identifiers associated with the plural monitors. Yet further, the method includes generating a one-hop suspect set of AS identifiers from the suspect set that have highest counts and highest distances.