摘要
提出一种新的基于节点声誉和目标声誉的混合抗污染机制。该机制由投票节点的声誉决定选定的目标文件的声誉。节点声誉通过引入严厉的惩罚策略及投票激励机制,有效孤立了污染者,刺激了用户对文件污染的警觉度,阻止污染的进一步扩散。仿真结果表明,与目标声誉系统相比,该机制收敛更快,抗污染性能更好。
This paper proposes a hybrid anti-pollution mechanism based on Peer reputation and object reputation where the reputation of selected object is determined by the reputation of voting Peers. Severe penalty strategy and polling incentive mechanism are introduced in computing Peer reputation, which can isolate the polluters effectively, stimulate users＇ awareness for file pollution, and avoid pollution further spreading. Simulation results show that compared with object reputation system, hybrid reputation mechanism converges faster, and has better performance of anti-pollution.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第7期150-152,共3页
Computer Engineering
基金
中国博士后基金资助项目(20070410953)
湖北省自然科学基金资助项目(2005ABA243)
关键词
P2P系统
文件污染
混合声誉机制
P2P systems
file pollution
hybrid reputation mechanism
