Outlier detection on network flow analysis
arXiv:1808.02024v1
Originality Synthesis-oriented
AI Analysis
This addresses network security for IT professionals, but it appears incremental as it explores an alternative method without demonstrating clear advancements.
The paper tackled the problem of detecting malicious network traffic flows like DDoS attacks by analyzing the use of outlier detection algorithms for classification, but no concrete results or numbers were provided.
It is important to be able to detect and classify malicious network traffic flows such as DDoS attacks from benign flows. Normally the task is performed by using supervised classification algorithms. In this paper we analyze the usage of outlier detection algorithms for the network traffic classification problem.