| 题名： |
A New Virus Source Inference Model Based on Network Performance Estimation |
| 作者： |
朱海婷,丁伟 |
| 杂志/会议： |
Applied Mechanics and Materials |
| 卷、期、页码： |
Volumes 433 - 435，1693-1698 |
| 时间： |
2013-10 |
| 关键词： |
Virus Source Inference; Network Performance Estimation; Rumor Centrality; Network Tomography |
| 摘要： |
With the rapid development of Internet, the spread of computer viruses threatens the public safety of network more and more seriously. Accurately detecting the computer virus sources is the premise of controlling the spread of virus. Most existing virus source inference algorithms based on topology have high time complexity or their inferring results are usually far away from the actual sources. Combining network tomography, a new virus source inference model based on network performance is proposed in this paper. Both the topology information and real time network status are considered in our model. Performance metrics such as loss rate, delay and bandwidth are introduced into rumor-centrality-based source detecting algorithm in an active inference way. By improving the process of setting up the spanning tree of infected topology we raise the virus source inference precision and reduce the time complexity of rumor-centrality-based algorithm from O(N2(|V|+|E|)) to O( N2). The simulation results show that our model achieves better estimation accuracy than the algorithm using rumor center as the estimator. |
| 索引： |
EI:20134716999264 |
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