Smart-blacklisting：P2P文件共享系统假块污染攻击对抗方法

doi:10.3969/j.issn.1000-436x.2013.08.012

CORC > 北京大学 > 计算机科学技术研究所

	Smart-blacklisting：P2P文件共享系统假块污染攻击对抗方法; Smart-blacklisting:an efficient methodology for mitigating fake block attack in P2P file-sharing systems
	姚汝颢 ; 刘丙双 ; 曲德帅 ; 周渊 ; 韩心慧
刊名	通信学报
	2013
关键词	P2P文件共享系统 eMule BitTorrent 假块污染攻击 P2P file-sharing system eMule BitTorrent fake block attack
DOI	10.3969/j.issn.1000-436x.2013.08.012
英文摘要	在当前十分流行的P2P文件共享网络中，假块污染攻击严重地干扰了正常的文件下载过程。提出了基于概率统计及多轮筛选的对抗假块污染攻击策略--Smart-blacklisting，从理论上证明了该策略的有效性。仿真实验结果表明，该策略可以保证目标文件成功下载并降低假块污染攻击对下载时间及带宽消耗的影响。当攻击强度为0.2时，下载时间仅为eMule系统黑名单方法的13%，在带宽消耗方面也仅为其50%。; Fake block attack intends to prolong the downloading time by providing fake data to make the file block fail in the hash check. P2P file-sharing systems are susceptible to fake block attacks, whereby malicious clients are able to make a big impact on users' downloading experience. An efficient methodology named Smart-blacklisting, which aims to lessen the downloading time and bandwidth wastes interfered by the attack was proposed through using a mathematic model, and the efficiency of this method was analyzed during a simulation experiment. The ovel approach presents 87% downloading time and 50% bandwidth wastes compare less than those of eMule blacklisting method.; 国家自然科学基金资助项目(61272536) Foundation Item:The National Natural Science Foundation of China; EI; 中文核心期刊要目总览(PKU); 中国科技核心期刊(ISTIC); 中国科学引文数据库(CSCD); 0; 8; 88-94; 34
语种	中文
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/262830]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	姚汝颢,刘丙双,曲德帅,等. Smart-blacklisting：P2P文件共享系统假块污染攻击对抗方法, Smart-blacklisting:an efficient methodology for mitigating fake block attack in P2P file-sharing systems[J]. 通信学报,2013.
APA	姚汝颢,刘丙双,曲德帅,周渊,&韩心慧.(2013).Smart-blacklisting：P2P文件共享系统假块污染攻击对抗方法.通信学报.
MLA	姚汝颢,et al."Smart-blacklisting：P2P文件共享系统假块污染攻击对抗方法".通信学报 (2013).