Identifying Network Dynamics with Large Access Graph and Case-Based Reasoning
碩士 === 國立中山大學 === 資訊管理學系研究所 === 90 === This study adopts large access graph algorithm and case-base reasoning approach to generalize user access patterns and diagnose network events respectively for facilitating the network management. Large access graph (LAG) algorithm discovers the frequently int...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2002
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/90787170838795625897 |
| Summary: | 碩士 === 國立中山大學 === 資訊管理學系研究所 === 90 === This study adopts large access graph algorithm and case-base reasoning approach to generalize user access patterns and diagnose network events respectively for facilitating the network management. Large access graph (LAG) algorithm discovers the frequently inter-connections among hosts to provide an overview of network access relation. The case-based reasoning (CBR) system diagnoses the instant network events with the past experience. NetFlow log data collected from the router of the dormitory network of National Sun Yat-Sen University is used for demonstrating these two methods. The evaluation results measured by recall, precision, and accuracy show that these two mechanisms are useful to support the network administer to keep track of network access relations and diagnose the network events.
|
|---|