BROWSE
Detail
Conference Paper
An Abnormal Connection Detection System based on Network Flow Analysis
Cited 0 time in 
Share 
Share
- Authors
- Jong-Hoon Lee, Ik Kyun Kim, Ki-Jun Han
- Issue Date
- 2015-09
- Citation
- International Conference on Consumer Electronics (ICCE) 2015 : Berlin, pp.71-75
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Recently, cyber-targeted attacks such as APT are rapidly growing as a social and national security threat. For this, our paper aims to cope with the cyber-targeted attack for recognizing the abnormal network connections with the flow data analysis method prior to the attacks being executed. The proposed Abnormal Connection Detection System can detect anomalous network connections by means of a statistical analysis and was evaluated in the experimental testbeds environment where the system was practically deployed.
- KSP Keywords
- Analysis method, Data analysis, Experimental testbed, Flow Data, Intrusion detection system(IDS), National security, Network Flow Analysis, Network connection, Statistical Analysis, security threats, targeted attack