Abstract: Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner. For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g.

Abstract: Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner. For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g.

Abstract: Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner. For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g.

Abstract: Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g.

Abstract: Examples for acceleration of online certificate status checking with an Internet hinting service are disclosed. For example, one method includes receiving, by a computing device from a hinting server, hint information comprising certificate information; receiving, from a remote computing device, a certificate in response to a request to establish secure communications with the remote computing device; and determining a validity of the certificate based on the certificate information.

Abstract: Embodiments use crowd disambiguation techniques to protect the privacy of potentially sensitive client resources in web transactions. Crowd disambiguation servers can aggregate information about resources, such as URLs, accessed by clients, in the form of resource fingerprints submitted by the clients. Said resource fingerprints can be used to provide crowd-sourced services in a privacy-protected manner. For example, in some embodiments a fingerprint of a URL visited by a client can be communicated to the server as both a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When only one client, or a limited number of clients, has communicated a certain resource fmgerprint, the underlying identity of the resource, in this case the URL, remains obfuscated from the crowd disambiguation server, which lacks sufficient information to reconstruct it.

Abstract: Examples for acceleration of online certificate status checking with an Internet hinting service are disclosed. For example, one method includes receiving, by a computing device from a hinting server, hint information comprising certificate information; receiving, from a remote computing device, a certificate in response to a request to establish secure communications with the remote computing device; and determining a validity of the certificate based on the certificate information.

Abstract: Embodiments use crowd disambiguation techniques to protect the privacy of potentially sensitive client resources in web transactions. Crowd disambiguation servers can aggregate information about resources, such as URLs, accessed by clients, in the form of resource fingerprints submitted by the clients. Said resource fmgerprints can be used to provide crowd-sourced services in a privacy-protected manner. For example, in some embodiments a fingerprint of a URL visited by a client can be communicated to the server as both a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When only one client, or a limited number of clients, has communicated a certain resource fmgerprint, the underlying identity of the resource, in this case the URL, remains obfuscated from the crowd disambiguation server, which lacks sufficient information to reconstruct it.

Abstract: Examples for acceleration of online certificate status checking with an Internet hinting service are disclosed. For example, one method includes receiving, by a computing device from a hinting server, hint information comprising certificate information; receiving, from a remote computing device, a certificate in response to a request to establish secure communications with the remote computing device; and determining a validity of the certificate based on the certificate information.