On Thursdays the USPTO publishes new patent applications. Both of todays Spotlight Applications address aspects of digital fingerprints. Assigned to Oracle, the first application discloses techniques for fraud monitoring and detection using application fingerprinting. Assigned to Yahoo, the second application discloses techniques for providing multimedia content optimization.
20090089869, "Techniques for fraud monitoring and detection using application fingerprinting," assigned to Oracle.
Abstract
Techniques for fraud monitoring and detection using application fingerprinting. As used herein, an "application fingerprint" is a signature that uniquely identifies data submitted to a software application. In an embodiment, a plurality of historical application fingerprints are stored for data previously submitted to a software application. Each historical application fingerprint is associated with one or more contexts in which its corresponding data was submitted. When new (i.e., additional) data is subsequently submitted to the application, a new application fingerprint is generated based on the new data, and the new application fingerprint is associated with one or more contexts in which the new data was submitted. The new application fingerprint is then compared with one or more historical application fingerprints that share the same, or substantially similar, context(s). Based on this comparison, a risk score is generated indicating a likelihood that the new data was submitted for a fraudulent/malicious purpose.
20090089326, "Method and apparatus for providing multimedia content optimization," assigned to Yahoo.
Abstract
Methods, system and computer readable medium for detecting duplicate content in a pair of media files prior to publication on a webpage include generating fingerprints for the contents of each of the pair of media files. The fingerprints of one of the pair of media file are then compared with the fingerprints of another of the pair of media files to compute a similarity score. The similarity score is compared against an established threshold. If the similarity score exceeds the established threshold, it is determined that the two media files are substantial duplicate of one another.
Abstract
Techniques for fraud monitoring and detection using application fingerprinting. As used herein, an "application fingerprint" is a signature that uniquely identifies data submitted to a software application. In an embodiment, a plurality of historical application fingerprints are stored for data previously submitted to a software application. Each historical application fingerprint is associated with one or more contexts in which its corresponding data was submitted. When new (i.e., additional) data is subsequently submitted to the application, a new application fingerprint is generated based on the new data, and the new application fingerprint is associated with one or more contexts in which the new data was submitted. The new application fingerprint is then compared with one or more historical application fingerprints that share the same, or substantially similar, context(s). Based on this comparison, a risk score is generated indicating a likelihood that the new data was submitted for a fraudulent/malicious purpose.
20090089326, "Method and apparatus for providing multimedia content optimization," assigned to Yahoo.
Abstract
Methods, system and computer readable medium for detecting duplicate content in a pair of media files prior to publication on a webpage include generating fingerprints for the contents of each of the pair of media files. The fingerprints of one of the pair of media file are then compared with the fingerprints of another of the pair of media files to compute a similarity score. The similarity score is compared against an established threshold. If the similarity score exceeds the established threshold, it is determined that the two media files are substantial duplicate of one another.
