Method and apparatus for privacy-enhanced evidence evaluation

Abstract

A method for privacy-enhanced evidence evaluation may comprise: sending a request for pre-evaluation information regarding evidence data of a target object to a first network entity from a requesting node; obtaining the pre-evaluation information from the first network entity, in response to successful verification of the requesting node at a second network entity; and calculating an evidence evaluation of the target object based at least in part on the pre-evaluation information, wherein the pre-evaluation information comprises re-encrypted evidence data of the target object associated with one or more time slots, and wherein the re-encrypted evidence data of the target object at an associated time slot is resulted at least in part from encrypted evidence data of the target object collected by the first network entity from one or more evidence providers at the associated time slot, by using a re-encryption key from the second network entity.

Description

technical field [0001] The present invention generally relates to social communications. More specifically, the present invention relates to methods and apparatus for privacy-enhanced evidence evaluation. Background technique [0002] The modern communication era has brought about a tremendous expansion of communication networks. A continuing challenge for communication service providers and device manufacturers is to deliver value and convenience to consumers by, for example, offering compelling web services, applications and content. The development of communication technologies has contributed to insatiable expectations for new capabilities. One area of ​​interest is the development of services and technologies to support evidence assessment or trust assessment in order to provide trust intelligence in computing and networking systems. Current trust assessment methods usually apply various theories to aggregate trust evidence or trust data collected from parties and th...

AI Technical Summary

Problems solved by technology

However, aggregating or processing the collected data may affect the privacy of the original data provider or the person being assessed

This is because mining the collected plaintext data can reveal clues about a person's privacy, such as daily activities, preferences, or interests, which in many cases may not be acceptable to system or service users, thus greatly affecting reputation systems or computing systems or the ultimate success of the service

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