Abstract: Various examples herein described are directed to methods, apparatuses and computer program products configured for dynamically replicating and/or converting source data objects in one or more external-access-limited source data object repositories to replica data objects in one or more external-service-accessible replica data object repositories in a network service cloud. For example, a network service server of the network service cloud may generate a plurality of bootstrap task objects and at least one change data capture (CDC) task object, and may generate the replica data objects based on the task objects.

Abstract: Various examples herein described are directed to methods, apparatuses and computer program products configured for dynamically replicating and/or converting source data objects in one or more external-access-limited source data object repositories to replica data objects in one or more external-service-accessible replica data object repositories in a network service cloud. For example, a network service server of the network service cloud may generate a plurality of bootstrap task objects and at least one change data capture (CDC) task object, and may generate the replica data objects based on the task objects.

Abstract: An online service may maintain or create data for a user, and a user may be allowed to exert control over how the data are used. In one example, there may be several categories of data, and the user may be able to specify who may use the data, and the purpose for which the data may be used. Additionally, a user may be able to see how many of his “friends” (or other contacts) have extended trust to a particular entity, which may aid the user in making a decision about whether to extend trust to that entity. User interfaces may be provided to allow users to specify how their data are to be used.

Abstract: An online service may maintain or create data for a user, and a user may be allowed to exert control over how the data are used. In one example, there may be several categories of data, and the user may be able to specify who may use the data, and the purpose for which the data may be used. Additionally, a user may be able to see how many of his “friends” (or other contacts) have extended trust to a particular entity, which may aid the user in making a decision about whether to extend trust to that entity. User interfaces may be provided to allow users to specify how their data are to be used.

Abstract: This disclosure relates to generating shares of secret data represented by secret data elements based on a first threshold for the number of shares that allow determining the secret data. The shares are determined based on the secret data, one or more random data elements added to the secret data and coefficients of a systematic maximum distance separable (MDS) code. The MDS code has a number of input data elements that is equal to the first threshold and that is also equal to the number of secret data elements plus the number of the one or more random data elements. The method of determining shares can be used for different data sets and multiple pairs of the shares can be generated to allow performing an operation between the first secret data with the second secret data based on distributed processing of each of the multiple pairs.

Abstract: Embodiments of the present invention relate to systems, methods, and computer-storage media for maintaining privacy while delivering advertisements based on encrypted user profile identifiers. In embodiments, a Public key Encryption with Keyword Search (PEKS) is used to generate a public key and a private key. In embodiments, a public key and a private key are used to encrypt user profile identifiers and generate trapdoors associated with defined profile identifiers, respectively. A portion of the encrypted user profile identifiers are compared to a portion of the trapdoors. If a match is present between at least one encrypted user profile identifier and an associated trapdoor, a delivery engine is provided with an identification of content to be delivered to the user. The provided description is then used to determine an advertisement to present to a user. The advertisement is then presented to the user.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Aspects of the subject matter described herein relate to collecting anonymous and traceable telemetry. In aspects, a telemetry source may obtain a certificate or other data from an escrow certificate issuer. The certificate includes information usable by a certificate collector to verify that the certificate is valid, but does not include information usable to identify the telemetry source to the telemetry collector.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Systems, methods, and computer storage media having computer-executable instructions embodied thereon that maintain privacy during user profiling are provided. A profiling service receives, from a first device, rules for profiling a user. The rules were encrypted using a private key. The profiling service also receives, from a second device, user data. The user data was encrypted using a public key communicated to the second device by the first device. The profiling service then matches the encrypted rules with the encrypted user data, and based on the matching, generates a profile for the user. In embodiments, such a user profile can be utilized to deliver personalized digital content to a user.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: An online service may maintain or create data for a user, and a user may be allowed to exert control over how the data are used. In one example, there may be several categories of data, and the user may be able to specify who may use the data, and the purpose for which the data may be used. Additionally, a user may be able to see how many of his “friends” (or other contacts) have extended trust to a particular entity, which may aid the user in making a decision about whether to extend trust to that entity. User interfaces may be provided to allow users to specify how their data are to be used.

Abstract: Aspects of the subject matter described herein relate to tuning detection components of a security system. In aspects, a history of alerts is collected. This history is then used together with knowledge about tunable objects of the system to determine parameters of the tunable objects that can be changed to improve detection of the system. Parameters of tunable objects are adjusted in a simulator that determines an effect on alerts in the history based on the adjusted parameters. A recommendation of one or more tuning actions may be provided together with information regarding the effect of each tuning action.

Abstract: Systems, methods, and computer storage media having computer-executable instructions embodied thereon that maintain privacy during user profiling are provided. A profiling service receives, from a first device, rules for profiling a user. The rules were encrypted using a private key. The profiling service also receives, from a second device, user data. The user data was encrypted using a public key communicated to the second device by the first device. The profiling service then matches the encrypted rules with the encrypted user data, and based on the matching, generates a profile for the user. In embodiments, such a user profile can be utilized to deliver personalized digital content to a user.