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Performance Evaluation of Open-Source Endpoint Detection an..:
So-Hyun Park
;
Sun-Woo Yun
;
So-Eun Jeon
...
https://ieeexplore.ieee.org/document/9716119/. , 2022
Link:
https://doi.org/10.1109/ACCESS.2022.3152574
RT Journal T1
Performance Evaluation of Open-Source Endpoint Detection and Response Combining Google Rapid Response and Osquery for Threat Detection
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:d505c4b885c548eead81c18df134eeca&Exemplar=1&LAN=DE A1 So-Hyun Park A1 Sun-Woo Yun A1 So-Eun Jeon A1 Na-Eun Park A1 Hye-Yeon Shim A1 Yu-Rim Lee A1 Sun-Jin Lee A1 Tae-Rim Park A1 Na-Yeon Shin A1 Min-Jin Kang A1 Il-Gu Lee PB IEEE YR 2022 K1 Advanced persistent threat K1 behavior-based detection K1 cyber-attack K1 detection criteria K1 remote live forensics K1 open source based EDR K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF https://ieeexplore.ieee.org/document/9716119/ LK http://dx.doi.org/https://doi.org/10.1109/ACCESS.2022.3152574 DO https://doi.org/10.1109/ACCESS.2022.3152574 SF ELIB - SuUB Bremen
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