Microsoft Technology Licensing, LLC

Arie Friedman

Hadas Bitran

Uri Barash

Shai Rubin

Dana Cohen Baron

Efim Hudis

Yair Helman

Yosef Dinerstein

Nir Nice

Ehud Wieder

Marc Eliot Davis

Yacov Yacobi

John Eugene Neystadt

Ron Jack Karidi

Lior Arzi

Oded Nahir

Boaz Feldbaum

Sefy Ophir

Eran Shamir

Adam Shostack

Gregory Aaron Kohanim

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.

Data policies for online services

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.

Maintaining privacy during personalized content delivery

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.

Controlling malicious activity detection using behavioral models

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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.

Collecting anonymous and traceable telemetry

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.

Maintaining privacy during user profiling

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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.

Detection accuracy tuning for security

Growing community of inventors

Petach-Tikva, Israel

Arie Friedman