[1]姜文婷,林少锐.一种基于Merkel树的P2P网络虚假下载片段检测方法[J].成都信息工程大学学报,2018,(02):155-159.[doi:10.16836/j.cnki.jcuit.2018.02.009]
JIANG Wen-ting,LIN Shao-rui.A Malicious Download Fragment Detection Method for P2P Network based on Merkel Tree[J].Journal of Chengdu University of Information Technology,2018,(02):155-159.[doi:10.16836/j.cnki.jcuit.2018.02.009]
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JIANG Wen-ting,LIN Shao-rui.A Malicious Download Fragment Detection Method for P2P Network based on Merkel Tree[J].Journal of Chengdu University of Information Technology,2018,(02):155-159.[doi:10.16836/j.cnki.jcuit.2018.02.009]
一种基于Merkel树的P2P网络虚假下载片段检测方法
成都信息工程大学学报[ISSN:1006-6977/CN:61-1281/TN]
卷:
期数:
2018年02期
页码:
155-159
栏目:
电子信息科学与技术
出版日期:
2018-01-31
- Title:
- A Malicious Download Fragment Detection Method for P2P Network based on Merkel Tree
- 文章编号:
- 2096-1618(2018)02-0155-05
- 关键词:
- 对等网络; 虚假节点; Merkel tree; 分布式证书
- Keywords:
- P2P network; malicious nodes; Merkel tree; distributed authentication
- 分类号:
- TP393
- 文献标志码:
- A
- 摘要:
- P2P 网络具有开放、匿名、自组织的特点,在为用户提供方便服务的同时,也为网络中的恶意节点提供虚假文件、为发动攻击行提供便利条件。当前的研究多采用信任模型构建的方法,通过以往的交易评估节点的可信程度为节点选择高质量服务、避免不安全交互提供选择依据,虽然可以在一定程度上提升网络安全性能,但计算过程依赖于反馈和推荐信息,对于大规模网络中反馈稀疏的情况评估性能较差,存在大量冗余信息,特别当恶意节点提供虚假反馈,发动共谋攻击、女巫攻击等针对信任模型的攻击时难于应对。为此,提出一种基于Merkel树的P2P网络虚假点检测方法,利用hash值检测文件片段的完整性。一旦检测到虚假节点之后,将其清除于网络,以增强P2P网络的安全性。
- Abstract:
- P2P network provides the conditions for the malicious nodes to provide fake documents and start its attack while provides a convenient and efficient service for users since it has the features of open,anonymous,self-organization.Current most researches use the method of trust model, through the credibility of the transaction evaluation node to node selection of high quality service, avoid unsafe interaction and provide basic data, although can improve the network security performance to a certain extent, but its calculation depends on the feedback and recommendation information for poor performance evaluation of sparse feedback in large-scale network, there are a lot of redundant information, especially when malicious nodes provide false feedback, to launch attacks against collusion attack, witch attacks are difficult to deal with the trust model. To solve the above problem, this paper proposes a solution that is detect and verification the malicious nodes based on Merkel tree. Once malicious node is detected, exclude the node out of the P2P networks in order to enhance the security of P2P network.
参考文献/References:
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备注/Memo
收稿日期:2018-02-27 基金项目:广东电网科技资助项目(036000KK52170002); 国家重点研发计划资助项目(2016YFB0901200)
更新日期/Last Update:
2018-01-31