Network Packet Sniffer: A Case Study of Kabale University.
Networks have dramatically changed our daily lives and infiltrated all aspects of human society. At the same time when we enjoy the convenience and benefits brought by the networks, we also suffer from a great amount of intelligent attacks and malicious intrusions. As a fundamental procedure of netw...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Thesis |
| Language: | en_US |
| Published: |
Kabale University
2024
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12493/1861 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Networks have dramatically changed our daily lives and infiltrated all aspects of human society. At the same time when we enjoy the convenience and benefits brought by the networks, we also suffer from a great amount of intelligent attacks and malicious intrusions. As a fundamental procedure of network security measurement, network data collection executes real-time network monitoring, supports network performance evaluation, assists network billing, and helps traffic testing and filtering. Thus, it plays a crucial and essential role in dealing with network intrusion detection and unwanted traffic control. However, an adaptive and effective data collection mechanism that can be pervasively applied to heterogeneous networks is still lacking. The literature available rarely comments on and compares the performance of existing data collection mechanisms. In this study, we survey existing data collection methods, mechanisms, and architectures. According to many proposed assessment criteria, we evaluate the performance of existing data collection mechanisms and summarize their characteristics. Furthermore, we figure out some open issues based on our investigation and forecast future research directions. |
|---|