Name
Title | ||
|---|---|---|
A cloud/edge computing streaming system for network traffic monitoring and threat detection. |
Abstract | ||
|---|---|---|
The unyielding trend of increasing cyber threats has made cyber security paramount in protecting personal and private intellectual property. To provide a highly secured network environment, network threat detection systems must handle real-time big data from varied places in enterprise networks. In this paper, we introduce a streaming-based threat detection system that can rapidly analyse highly intensive network traffic data in real-time, utilising streaming-based clustering algorithms to detect abnormal network activities. The developed system integrates the high-performance data analysis capabilities of Flume, Spark and Hadoop into a cloud-computing environment to provide network monitoring and intrusion detection. Our performance evaluation validates that the developed system can cope with a significant volume of streaming data in a high detection accuracy and good system performance. We further extend our system for edge computing and discuss some key challenges, as well as some potential solutions, ... |
Year | Venue | Field |
|---|---|---|
2018 | IJSN | Edge computing,Spark (mathematics),Computer science,Computer network,Network monitoring,Cluster analysis,Intrusion detection system,Big data,Cloud computing,Scalability |
DocType | Volume | Issue |
Journal | 13 | 3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhijiang Chen | 1 | 42 | 3.32 |
| Sixiao Wei | 2 | 11 | 3.00 |
| Wei Yu | 3 | 1338 | 118.61 |
| James H. Nguyen | 4 | 0 | 0.34 |
| William G. Hatcher | 5 | 0 | 0.34 |