Abstract: A method and system provide and utilize obfuscated fonts for displayable content. Responsive to a request for displayable content having text, a text portion of the requested displayable content to be obfuscated is determined. For that text portion, obfuscated fonts are provided, by retrieving obfuscated fonts or by generating obfuscated fonts from a set of obfuscated glyphs created from a plurality of glyphs representative of a plurality of characters of the text portion of the displayable content. The obfuscated fonts can be created by assigning obfuscated glyphs of the set into the obfuscated fonts in accordance with one or more messages. The obfuscated fonts are mapped by assigning a value to each obfuscated glyph in the set that is different from an original value of the glyph.

Abstract: Described herein is a novel approach for coarse-grained user geolocation leveraging widely-deployed content delivery networks (CDNs). This method relies on the fact that CDN providers deploy a number of edge servers that are geographically distributed across the world. Many of these edge servers are assigned with unique identifiers that are tied to their location, which can be retrieved by inspecting HTTP responses headers served by these edge servers. As a result, a website can infer coarse-grained user location by asking a user to send an HTTP request to an arbitrary domain that is known being served by a CDN, and inspecting the corresponding responses.

Abstract: Systems and methods for using a mobile device camera to capture photos of latent fingerprints are disclosed. Various embodiments disclosed implement machine learning and pattern matching algorithms to determine the quality of the captured photo of a latent fingerprint. The quality determined by the algorithms may be used to provide feedback to a user (e.g., a CSI) such that the user can capture higher quality images that improve the reliability in using the fingerprint for search and/or matching.

Abstract: Described herein is a novel approach for coarse-grained user geolocation leveraging widely-deployed content delivery networks (CDNs). This method relies on the fact that CDN providers deploy a number of edge servers that are geographically distributed across the world. Many of these edge servers are assigned with unique identifiers that are tied to their location, which can be retrieved by inspecting HTTP responses headers served by these edge servers. As a result, a website can infer coarse-grained user location by asking a user to send an HTTP request to an arbitrary domain that is known being served by a CDN, and inspecting the corresponding responses.