Abstract: A processor-implemented method for improving computer identification comprising transmitting a browser fingerprinting test to one or more computing devices and receiving test data from the one more computing devices that includes at least an elapsed processing time and a hash code. The method includes determining an average elapsed processing time and determining a uniqueness level for the browser fingerprinting test by comparing the hash codes for each computing device with one another.

Abstract: A processor-implemented method for improving computer identification comprising transmitting a browser fingerprinting test to one or more computing devices and receiving test data from the one more computing devices that includes at least an elapsed processing time and a hash code. The method includes determining an average elapsed processing time and determining a uniqueness level for the browser fingerprinting test by comparing the hash codes for each computing device with one another.

Abstract: A processor-implemented method for improving computer identification comprising transmitting a browser fingerprinting test to one or more computing devices and receiving test data from the one more computing devices that includes at least an elapsed processing time and a hash code. The method includes determining an average elapsed processing time and determining a uniqueness level for the browser fingerprinting test by comparing the hash codes for each computing device with one another.

Abstract: Techniques for securely generating and using a “fingerprint” for authentication. A server computer receives a first data set from a user device (including a first fuzzy hash of first user data on the user device). The server computer generates a first fingerprint value based on the first data set. The server computer detects an event corresponding to a user in association with the user device. The server computer identifies a baseline fingerprint value (generated based on a baseline fuzzy hash of user data on the user device). The server computer compares the first fingerprint value to the baseline fingerprint value to generate a similarity score. The server computer may determine that the similarity score exceeds a threshold value but does not represent an exact match, and, based on the similarity score, authenticate the user and update the baseline fingerprint value based on the first fingerprint value.

Abstract: A processor-implemented method for improving computer identification comprising transmitting a browser fingerprinting test to one or more computing devices and receiving test data from the one more computing devices that includes at least an elapsed processing time and a hash code. The method includes determining an average elapsed processing time and determining a uniqueness level for the browser fingerprinting test by comparing the hash codes for each computing device with one another.

Abstract: Techniques for securely generating and using a “fingerprint” for authentication. A server computer receives a first data set from a user device (including a first fuzzy hash of first user data on the user device). The server computer generates a first fingerprint value based on the first data set. The server computer detects an event corresponding to a user in association with the user device. The server computer identifies a baseline fingerprint value (generated based on a baseline fuzzy hash of user data on the user device). The server computer compares the first fingerprint value to the baseline fingerprint value to generate a similarity score. The server computer may determine that the similarity score exceeds a threshold value but does not represent an exact match, and, based on the similarity score, authenticate the user and update the baseline fingerprint value based on the first fingerprint value.

Abstract: In one or more embodiments, one or more systems, methods, and/or memory devices described can be utilized to display a configuration interface that includes an emulated mobile device interface and a consumer program product development interface and emulate an emulated mobile device, that corresponds to a physical mobile device which includes a physical processor, a physical memory, and a physical integrated circuit, which can be displayed via emulated mobile device interface. The configuration interface can transfer at least one image associated with the emulated mobile device to the consumer program product development interface and can receive configuration information associated with the at least one image associated with the emulated mobile device and the physical mobile device. The configuration information can be utilized to produce a consumer program product that includes the at least one image and description information associated with steps utilizable to configure the physical mobile device.

Abstract: An autodiscovery feature with an easy-to-use interface is provided to automatically collect metadata about electronic services for use within a business enterprise and to store that metadata in a metadata repository. The autodiscovery feature is used to create autodiscovery queries that are sent to electronic services to collect from the services' digests specified metadata useful for identifying the functionality of those services and integrating the services into business processes. Digests, such as RSS feeds and Atom feeds, are typically created by services to include useful metadata, such as the title of a service, the URL link to a description of the service, a brief description of the service, the publication date of the service, and other data. Autodiscovery queries can thus collect services' relevant metadata and store it in a business enterprise's metadata repository, so that the services' functionality can be quickly identified and used for business processes.