2023-10-01
org.kosen.entty.User@72281f63
운영자(kosenadmin)
With the rapid advancement of the Internet, the use of encrypted traffic has surged in order to protect data during transmission. Simultaneously, network attacks have also begun to leverage encrypted traffic, leading to active research in the field of encrypted traffic analysis to overcome the limitations of traditional detection methods. In this paper, we provide an overview of the encrypted traffic analysis field, covering the analysis process, domains, models, evaluation methods, and research trends. Specifically, it focuses on the research trends in the field of anomaly detection in encrypted network traffic analysis. Furthermore, considerations for model development in encrypted traffic analysis are discussed, including traffic dataset composition, selection of traffic representation methods, creation of analysis models, and mitigation of AI model attacks. In the future, the volume of encrypted network traffic will continue to increase, particularly with a higher proportion of attack traffic utilizing encryption. Research on attack detection in such an environment must be consistently conducted to address these challenges.
Ⅰ. 서론
Ⅱ. 암호트래픽 분석 프레임워크
Ⅲ. 암호화된 트래픽 이상탐지
Ⅳ. 암호트래픽 분석을 위한 고려사항 및 향후 연구방향
Ⅴ. 결론
용어해설
약어 정리
Ⅰ. 서론
Ⅱ. 암호트래픽 분석 프레임워크
Ⅲ. 암호화된 트래픽 이상탐지
Ⅳ. 암호트래픽 분석을 위한 고려사항 및 향후 연구방향
Ⅴ. 결론
용어해설
약어 정리
-
리포트 평점
해당 콘텐츠에 대한 회원님의 소중한 평가를 부탁드립니다. -
0.0 (0개의 평가)