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학술대회 An Abnormal Connection Detection System based on Network Flow Analysis
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저자
이종훈, 김익균, 한기준
발행일
201509
출처
International Conference on Consumer Electronics (ICCE) 2015 : Berlin, pp.71-75
DOI
https://dx.doi.org/10.1109/ICCE-Berlin.2015.7391336
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.
키워드
Abnormal behavior detection, APT detection, network flow analysis, Security intelligence technology
KSP 제안 키워드
APT detection, Analysis method, Data analysis, Experimental testbed, Flow Data, Intrusion detection system(IDS), National security, Network Flow Analysis, Network connection, Security intelligence technology, Statistical Analysis