Intelligent agent behavior responsibility investigation method based on social network privacy negotiation system

Abstract

The invention discloses an intelligent agent behavior responsibility investigation method based on social network privacy negotiation system, which realizes agent behavior responsibility investigation through qualitative responsibility investigation and quantitative responsibility investigation processes, and adopts a forward simulation negotiation process and a reverse reproduction negotiation process in the qualitative responsibility investigation process. And whether the privacy negotiation agent has improper behaviors or not is accurately judged, and the specific occurrence position of the privacy negotiation agent is accurately locked when the improper behaviors exist. Three quantitative responsibility investigation methods including a simple quantification method, a weighted mahalanobis distance method and an improved Minhash method are further provided, the responsibility quantification value of the privacy negotiation agent can be obtained, and therefore the severity degree of improper behaviors is quantified. According to the invention, the problems of untrusted, unsafe and malicious behaviors of the intelligent agent in the current social network privacy negotiation system are solved.

Description

Technical field [0001] The present invention relates to the field of network privacy protection, and more particularly to a homologous behavior of intelligent behavior based on social network privacy negotiation systems. Background technique [0002] Rapidly developed social networks have changed to some extent to promote the extensive occurrence of information sharing, but also brings serious privacy leaks. [0003] Remove traditional privacy protection technology, the privacy protection method based on artificial intelligence technology such as neural network is increasingly rising. Such methods combine artificial intelligence technology with privacy protection mechanisms, solve problems such as unfair, privacy violations, and models of models, and achieve efficient protection of information (such as photos) such as photos. Such as Kekulluoglu, etc., based on description logic, to assist social network users reach privacy protection consensus before information sharing, and pla...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a social network privacy negotiation system-based agent behavior accountability method, aiming to solve the problems of untrustworthy, insecure, and malicious behaviors of agents in the current social network privacy negotiation system

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