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来源：百度知道 编辑：UC知道 时间：2024/05/31 20:09:32
Abstract
This paper describes and compares two trust metrics,Advogato and Page-Rank.It describes a novel attack against Advogato and attack-resistance proof for PageRank.
Introduction
Trust metrics attempt to automate word-of-mouth reputation.A trust metric uses local information in the form of which users trust which other users in order to compute a global "trustworthiness"value for each user.trustworthiness is computed relative to a "seed"of nodes initially assumed to be trustworthy.
The input to a trust is a directional graph. Each node is a user account and each dege represents a statement of the form"I,userA,certify that user B is trustworthy".A trust metric computes a number for each node,representing how much the system or trust seed should trust esch node.
Advogato's attack model partitions nodes into three types:
Good nodes behave well and have not certified any bad nodes.
Confused nodes behave well but hav
This paper describes and compares two trust metrics,Advogato and Page-Rank.It describes a novel attack against Advogato and attack-resistance proof for PageRank.
Introduction
Trust metrics attempt to automate word-of-mouth reputation.A trust metric uses local information in the form of which users trust which other users in order to compute a global "trustworthiness"value for each user.trustworthiness is computed relative to a "seed"of nodes initially assumed to be trustworthy.
The input to a trust is a directional graph. Each node is a user account and each dege represents a statement of the form"I,userA,certify that user B is trustworthy".A trust metric computes a number for each node,representing how much the system or trust seed should trust esch node.
Advogato's attack model partitions nodes into three types:
Good nodes behave well and have not certified any bad nodes.
Confused nodes behave well but hav
摘要
本文介绍和比较，这两个信托指标， advogato与网页rank.it介绍了一种新型的攻击advogato和攻击性的举证的PageRank 。引入信托指标，企图自动化口碑相传reputation.a信任度量使用本地形式的信息，用户信任的其他用户在为了计算一个全球性的“诚信”的价值为每user.trustworthiness是计算相对“种子“节点最初假定为可以信赖的。
输入一个信托是一个方向性的图形。每个节点是一个用户帐户和每个德格三个代表形式发表的一个声明： “我， usera ，证明B使用者是值得信赖的” 。信托公制计算了一些，为每一个节点，代表了多少系统或不信任的种子，应该信任esch节点。
advogato的攻击模式，分割节点分为3类：良好的节点的表现良好，并没有证明任何坏节点。混淆节点的表现良好，但已发出的认证坏节点。坏节点的控制之下，该attacker.the攻击者控制谁，他们证明什么，他们这样做。