Traceback analysis of abnormal access to electronic resources from the perspective of encrypted traffic
To trace the misuse of university library electronic resources, such as excessive downloading and frequent access, the Sun Yat-sen University traffic big data analysis platform was leveraged to analyze abnormal access behaviors from the perspective of encrypted traffic. Relevant network traffic indi...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2024-11-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024258/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | To trace the misuse of university library electronic resources, such as excessive downloading and frequent access, the Sun Yat-sen University traffic big data analysis platform was leveraged to analyze abnormal access behaviors from the perspective of encrypted traffic. Relevant network traffic indicators were discussed and a methodology for tracing abnormal access incidents was proposed. The findings demonstrate that the characteristics of encrypted traffic can effectively identify abnormal access behaviors, and the Sun Yat-sen University traffic big data analysis platform provides technical support to ensure the proper use of electronic resources. |
|---|---|
| ISSN: | 1000-436X |