상세정보
학술대회
An Abnormal Connection Detection System based on Network Flow Analysis
- 발행일
- 201509
- 출처
- International Conference on Consumer Electronics (ICCE) 2015 : Berlin, pp.71-75
- 협약과제
- 15MS9700, 다중소스 데이터의 Long-term History 분석기반 사이버 표적공격 인지 및 추적기술 개발, 김익균
- 초록
- 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 제안 키워드
- 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