Google Inc.

Facebook, Inc.

Yan Yu

Michael Chu

Zhengrong Ji

Sam Song Liang

Yuhua Luo

Ravi Kumar Jain

Chung-Man Tam

Christopher Lambert

Tu Tu Tsao

Michael Dudley Johnson

Steven John Lee

Xiaoliang Wei

Herry Sutanto

Mukund Narasimhan

Itamar Rosenn

Alex Bain

Weizhe Shi

Todd Krabach

Lior Berry

Hsueh-Fang Cheng

Jackson Gabbard

Eric Ruth

Steve Lee

Systems and methods according to aspects of the invention verify requests for information over a network. Computing devices communicating over a network transmit numerous signals with various types of information including spatial information, temporal information, device-specific information, and transmission specific information. This information may be used to generate statistical records of valid request for information. Various combinations of these signals may be used to determine whether a request for information is a valid request based on the statistical records associated with the signals. Where a request for information has been verified, the system and method may provide the information. Where the request for information has not been verified, the system and method may deny the request for information. Thus the system and method may be used to prevent and block scraping and spamming attacks.

System and method of using spatial and temporal signals to identify and prevent attacks

A computer program product has a computer-readable storage medium having computer program instructions embodied therein for performing a method for implementing a privacy policy for a user. The method may include the user developing rules that determine whether another user (requester) can access information related to the user. The rules may be stored in a database coupled to a server and evaluated when a request is received from the requester to access the information. If a rule is satisfied by the requester, the server can return the information to the requester. The information can be returned at a level of granularity specified by the user in the satisfied rule. A privacy level can be set by the user to allow access to requesters based on the rules or to deny access to any requesters.

User privacy framework

In one embodiment, a method includes, by one or more server computing devices, receiving state data of a client computing device. The state data includes event data indicating events generated by or occurring at the client computing device and context data associated with the event data. The context data indicates device states of the client computing device that each coincide with one or more of the events and indicate a context of the one or more of the events. The method also includes, by one or more server computing devices, ordering the events and the device states in the event and context data into a state-data-review structure and analyzing the state-data-review structure to generate one or more recommendations on operation of the client computing device.

Device state capture and analysis

A computer-implemented method and system of quarantining user location information receives from a user device user location information that includes personally identifiable user data and user position data associated with one or more geographic positions of the user. The user location information is temporarily stored in a quarantine data storage database for a predetermined quarantine time, during such time it can be used for various analysis. After the quarantine time, personally identifiable user data of the user location information is filtered out before the user position data is sent for long-term storage to a filtered data storage system.

Location data quarantine system

A computer-implemented method and system of quarantining user location information receives from a user device user location information that includes personally identifiable user data and user position data associated with one or more geographic positions of the user. The user location information is temporarily stored in a quarantine data storage database for a predetermined quarantine time, during such time it can be used for various analyses. After the quarantine time, personally identifiable user data of the user location information is filtered out before the user position data is sent for long-term storage to a filtered data storage system.

A computer-implemented method and system of building a user reputation database for use in a user location data system. The method and system receive user location information containing personally identifiable data of a user and user position data. The user position data may or may not represent one or more actual geographic positions of the user. The user location information is temporarily stored and analyzed to provide a spam score associated with the user position data indicative of whether the user position data represents the actual geographic positions of the user. Data indicative of the spam score is also provided to user reputation database to store a user reputation score associated with the user.

User location reputation system

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Sunnyvale, CA, United States of America

Yan Yu