Reputation data processing method based on anonymous network and machine learning

Abstract

The invention provides a reputation data processing method based on an anonymous network and machine learning. The reputation data processing method is used for solving the problems of privacy protection and attack resistance in the prior art. Implementation steps are as follows: implementation steps are as follows: the a node carries out identity authentication and registration through the trusted third party to enter the network; and the a server issues a key pair to the node, the node issues a public message and makes a feedback behavior to other messages, the system trains and classifies data containing reputation characteristics, the system tests and classifies the data generated by the node, and the system processes malicious nodes. According to the method, Tthe evaluated identity, the registered identity and the real identity are separated through an appropriate encryption mechanism, so that the real identity of the user is difficult to track, the problem of privacy protection is solved, and meanwhile, a machine learning mechanism is applied to classify and process reputation data, so that network attacks possibly suffered by a reputation system are effectively resisted.

Description

technical field [0001] The invention belongs to the technical field of network security, system security and machine learning, and discloses a distributed reputation data processing method based on anonymous network and machine learning. Background technique [0002] The rapid development of the Internet is changing people's lives, and the proportion of e-commerce in human daily life is also increasing. However, the unique virtuality in online transactions has caused a serious asymmetry of information between the two parties, resulting in fraudulent behavior and security problems, which seriously restrict the development and growth of e-commerce. The introduction of the reputation system alleviates this problem. It collects and aggregates feedback from various nodes (such as voting, etc.), and integrates these feedbacks into reputation values ​​associated with the long-term identity of nodes. These clear reputation values ​​can be passed between nodes. Assessing the quality...

AI Technical Summary

Problems solved by technology

[0005] To sum up, the problems existing in the existing technology are: some systems deploy a centralized platform with too much power. Once the platform falls, the entire system basically collapses; Behavior should be linked with the registered identity, but the real identity of the user cannot be traced, that is, the requirement of conditional anonymity is rarely met; the computing efficiency of the system has not been improved; the system suffers from malicious Node attacks are only partially mitigated and vaguely defined; these attacks have never been comprehensively categorized and addressed

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