Twitter, Inc.

Google Inc.

Apple Inc.

Digital Lumens, Inc.

Crashlytics, Inc.

Matthew William Massicotte

Jeffrey Hall Seibert, Jr

Wayne Chang

Frederick Marshall Morgan

Madhusudan Chaudhary

Colin N Piepgras

Brian J Chemel

Ray Ling Chang

Amit K Vyas

Scott D Johnston

Steve T Kondo

John Francis Egan

Cherif Jazra

Christopher L Elledge

Tong Liu

Jesse F Kuhn

Henry B Sick

Kyle Bolton

Ed Solovey

Marc Richards

Andrea S Falcone

Samuel A Neubardt

Sam Robbins

Jamie Rothfeder

This description relates to techniques for authenticating an application through generation of a dynamic application-specific token. A client application executing on a client device receives a request from a server for a token. The client application accesses a resource file or portion thereof that is accessible to both the client application and authenticator and is known to be accessible to the client application by the authenticator in response to the request for the token and extracts a copy of the resource file or the portion. A token is generated based on the extracted copy and additional information factors if any, some of which may be random or pseudo-random. The token is transmitted to the server for authentication.

Authentication security via application-specific dynamic token generation

A system and method for tracking callback functions for error identification is provided. Prior to a function calling a callback function, it records information relating to the back trace of function(s) that called the callback in a set of state information. In the event of an error condition, the state information may be examined to provide additional information for debugging purposes.

System and method for tracking callback functions for error identification

An ambient light sensor measures an ambient light level at one point in an illuminated environment, such as a warehouse, office, shop, cold-storage facility, or industrial facility, and provides an indication of the measured ambient light level to a processor. The processor maps the measured ambient light level to an estimated ambient light level at a different point in the illuminated environment from the measured ambient light level (e.g., a 'task height' about three feet from a warehouse floor). The processor may determine the difference between the estimated ambient light level and a desired light level at the task height, and may change the artificial illumination provided by a light fixture to make the actual ambient light level at task height match the desired light level at the task height.

Methods, systems, and apparatus for intelligent lighting

A developer analytic module executing on an integrated development environment provides location tracing of a software development toolkit and automatic updated of the SDK. The developer analytic module further provides data container transfer functionality to ensure that analytic logic has access to necessary data containers to perform symbolication and/or error detection.

System and method for providing additional functionality to developer side application in an integrated development environment

A system and method for tracking event occurrences among applications executing on a mobile device is provided. When an action is initiated, the first application generates a first notification indicator and records it with a notification server. When the action is performed by, for example, a second application, the second application generates a second notification indicator and registers it with the notification server. The notification server may then notify the first application or other entities of the occurrence of the action.

System and method for tracking event occurrences between applications

The disclosed embodiments provide a system that processes incoming network packets to an electronic device. The system includes an analysis apparatus that maintains a list of accepted incoming packet attributes for the electronic device based on outgoing packets from the electronic device. The system also includes a filtering apparatus that compares a first set of header information for an incoming packet to the list. If the first set of header information is not included in the list, the filtering apparatus discards the incoming packet. If the first set of header information is included in the list, the filtering apparatus enables subsequent processing of the incoming packet on the electronic device by, for example, providing the incoming packet to a transport-layer mechanism on the electronic device for subsequent processing of the incoming packet by the transport-layer mechanism.

Filtering of unsolicited incoming packets to electronic devices

The disclosed embodiments provide a system that processes incoming network packets to an electronic device. The system includes an analysis apparatus that maintains a list of accepted incoming packet attributes for the electronic device based on outgoing packets from the electronic device. The system also includes a management apparatus that uses the list to classify an incoming packet to the electronic device as a solicited incoming packet or an unsolicited incoming packet. If the incoming packet is classified as the solicited incoming packet, the management apparatus enables subsequent processing of the incoming packet on the electronic device. If the incoming packet is classified as the unsolicited incoming packet, the management apparatus adjusts a triggering of radio dormancy in the electronic device based on the incoming packet.

Adjusting radio dormancies in electronic devices based on receipt of unsolicited incoming packets

A system and method for robust storage of error event information is provided. Binary image information is stored in a compressed data structure in a read only portion of memory. In the event of an error condition, state information is written to a file in a series of carriage return delineated lines.

System and method for robust storage of error event information

Growing community of inventors

Cambridge, MA, United States of America

Matthew William Massicotte