Microsoft Technology Licensing, LLC

Alvin Loh

Scott Field

Nadim Y Abdo

Adam J Overton

Marc E Seinfeld

Sterling M Reasor

John E Parsons, Jr

John E Parsons

Angela K Butcher

Catalin Daniel Sandu

Michael Jarrett

Vishal Kapoor

Ajith Kumar

Timothy David Ebringer

Joseph Leo Faulhaber

Jeremy D Croy

Santanu Chakraborty

Ahmed S Hussain

Mathew J McCormack

Kalid M Azad

Paul J Bryan

Methods, systems, and computer-readable media are disclosed for identifying telemetry data. A particular method scans a file and compares the file to at least one attribute to be used for telemetry collection. When the file is identified as a telemetry candidate, an offer to submit a sample of the file is sent to a server. A response to the offer is received from the server. If the response to the offer indicates an acceptance, a sample of the file is sent to the server.

Identification of telemetry data

Systems, methods and apparatus for automatically identifying a version of a file that is expected to be present on a computer system and for automatically replacing a potentially corrupted copy of the file with a clean (or undamaged) copy of the expected version. Upon identifying a file on the computer system as being potentially corrupted, a clean file agent may perform an analysis based on the identity of the file and one or more other properties of the system to determine the version of the file that is expected to be present on the system. Once the expected version is identified, a clean replacement copy of the file may be obtained from a clean file repository by submitting a version identifier of the expected version. The version identifier may be a hash value, which may additionally be used to verify integrity of the clean copy.

Clean store for operating system and software recovery

A system and method for identifying and removing potentially unwanted software. A mechanism is provided that identifies suspect programs to a user and allows the user to prevent the suspect programs from running without actually deleting them. In one embodiment, scanner data identifying potentially unwanted software is displayed in a GUI that allows the user to inhibit its continued execution. For example, any software not on a list of known, benign applications/processes may be identified as potentially unwanted. Similarly, software that displays one or more suspect behaviors may be so identified, allowing the user to distinguish between normal and suspect software without irreversibly altering the user's system.

Identifying and removing potentially unwanted software

Upon successfully authenticating a client device with a server system, the client device and server system share auto-reconnect data. Upon subsequently losing and re-establishing communications with the server system, the client sends an auto-authenticate request to the server. The auto-authenticate request includes a session verifier that is based at least in part on the shared auto-reconnect data. The server validates the session verifier. If the validation is successful, the server automatically re-authenticates the client device.

Automatic re-authentication

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Sammamish, WA, United States of America

Alvin Loh