基于区块链技术的联邦系统用户行为动态协商

Min Yang, Shibin Zhang, Yang Zhao, Qirun Wang
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引用次数: 2

摘要

随着网络系统和用户数量的不断增加,用户的日常活动产生了海量的数据,大数据时代随之到来。本文的重点是尝试借助区块链技术实现用户信任协商。因此,本文不仅讨论了如何检测恶意用户,还讨论了网络系统之间如何协商用户的信任值。主要工作如下:首先,各种分散的系统形成一个联邦系统。其次,将每个用户行为特征锚定在联邦系统中的用户行为区块链上,得出用户整体行为的轨迹,并在此基础上提出了基于实际拜占庭容错(PBFT)的信任协商模型。最后,提出了一个基于该模型的场景,并对其安全性问题进行了分析,为动态协商用户信任进行了新的尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic negotiation of user behaviour via blockchain technology in federated system
With the increasing number of network systems and users, there are a myriad of data generated by users' daily activities, then comes the big data era. The focus of this paper tries to realise user trust negotiation with the help of blockchain technology. Therefore, in this paper, how to not only detect a malicious user but also negotiate the users' trust value among network systems are discussed. The dominating work is as follows: firstly, a variety of decentralised systems form a federated system. Secondly, every user behaviour profile is anchored on the user behaviour blockchain among the federated system, which concludes the trajectory of a user's overall behaviours, on the basis of user behaviour profile, the trust negotiation model based on practical byzantine fault tolerance (PBFT) is proposed. Finally, a scenario based on the model is proposed and its safety problems are analysed, which makes a new try in dynamic negotiation of user trust.
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