摘要
P2P网络的节点度近似服从幂律分布的无标度特性导致了这类网络对随机故障的鲁棒性和对蓄意攻击的脆弱性.为提高其抵抗蓄意攻击的能力,提出了一种经济、高效的分散式目标免疫策略,针对(1)具有最高连接度的节点、(2)具有最高可用性的节点和(3)与具有最高负载的链路直接相连的节点这三类目标实施免疫,设计了基于NoN-indexing机制的熟人免疫方法,能够仅利用网络拓扑局部知识和仅免疫少量关键节点,即可大幅度提高P2P网络的抗蓄意攻击能力.仿真实验结果验证了该分散式免疫策略的经济性和高效性.
The power-law node degree distributions of peer-to-poer overlay networks make them extremely robust to random failures whereas highly vulnerable under intentional targeted attacks. To enhance attack survivability of these networks, a novel immunization strategy, coupled with a NoN-indexing based acquaintances selection method, is proposed to conduct completely decentralized immunizations, by utilizing only domain heuristics locally, and by curing only those right nodes with （ 1 ） highest connectivity, （2） highest availability and （3） highest link-load. Extensive simulation results show that the proposed immunization strategy Outperforms its competitors, producing an arresting increase of the network attack tolerance,at a lower price of eliminating computer viruses or malicious attacks.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2008年第11期135-141,共7页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(60803127)
上海市重大科技攻关专项(07DZ15006)
关键词
对等覆盖网络
拓扑结构
幂律分布
蓄意攻击
分散式目标免疫
成本
效率
peer-to-peer overlay networks
topology
power-law
intentional attacks
decentralized targeted immunization
cost
efficiency
