Tight Incentive Analysis on Sybil Attacks to Market Equilibrium of Resource Exchange over General Networks

Yukun Cheng, Xiaotie Deng, Yuhao Li, X. Yan
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引用次数: 2

Abstract

The Internet-scale peer-to-peer (P2P) systems usually build their success on distributed protocols. For example, the well-known BitTorrent network for resource exchange is based on the proportional response protocol, where each participant exchanges its resources with its neighbors in proportion to what it has received in the previous round. The dynamics of such a protocol has been proved to converge to a market equilibrium. On the other hand, it requires thorough incentive analysis to show the robustness of such protocol, as the distributed agents may strategically manipulate the system once they are able to benefit. Recent studies have developed strategyproofness results of the proportional response protocol against agent deviations in the forms of weight cheating and edge deleting. However, the protocol is not truthful against Sybil attacks, under which an agent may create several fictitious identities and control these fictitious identities to exchange resources with others. In this paper, we apply the concept of incentive ratio to measure how much the utility of a strategic agent in a market equilibrium can be improved by playing Sybil attacks. We prove a tight incentive ratio of two for any agent launching Sybil attacks over general networks. The tight incentive ratio of two closes an open problem modeling the successful tit-for-tat protocol for Internet resource exchanging and also presents a complete picture in this line of theoretical studies with real applications.
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一般网络上Sybil攻击对资源交换市场均衡的严格激励分析
互联网规模的点对点(P2P)系统通常在分布式协议的基础上取得成功。例如,众所周知的BitTorrent资源交换网络是基于比例响应协议的,其中每个参与者与邻居交换其资源的比例与它在前一轮收到的资源成比例。这种协议的动力学已被证明收敛于市场均衡。另一方面,它需要彻底的激励分析来显示这种协议的鲁棒性,因为一旦分布式代理能够受益,它们可能会有策略地操纵系统。最近的研究已经开发了比例响应协议对权重欺骗和边缘删除形式的代理偏差的策略验证结果。然而,该协议对Sybil攻击并不真实,在Sybil攻击下,代理可以创建多个虚拟身份并控制这些虚拟身份与其他代理交换资源。在本文中,我们应用激励比率的概念来衡量战略主体在市场均衡中通过实施西比尔攻击可以提高多少效用。我们证明了在一般网络上发起Sybil攻击的任何代理的激励比为2。两者的紧密激励比为互联网资源交换中成功的以牙还牙协议的建模提供了一个开放问题,也为这一理论研究和实际应用提供了一个完整的图景。
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