Podrobný výpis o publikaci

@misc{49314,
   author = {Čermák, Milan},
   booktitle = {DFRWS EU 2022},
   keywords = {Network Forensics;Graph Database;Incident Investigation;Dgraph;Zeek;Association-based Analysis},
   language = {eng},
   title = {Toward Graph-Based Network Traffic Analysis and Incident Investigation},
   year = {2022}
}

TY  - SLIDE
ID  - 49314
AU  - Čermák, Milan
PY  - 2022
TI  - Toward Graph-Based Network Traffic Analysis and Incident Investigation
KW  - Network Forensics;Graph Database;Incident Investigation;Dgraph;Zeek;Association-based Analysis
N2  - Even though network traffic is typically encrypted, and it is almost impossible to look into the content of transmitted data, the analysis of metadata and characteristics of individual connections still plays an essential role in an incident or criminal investigation. In recent years, we have seen a significant development of various approaches for storing and analyz-ing large-scale data, including graph databases. Such an approach offers great potential for expert analysts performing digital forensics and network traffic investigation, as it corresponds to their natural perception of the data. In addition, it allows a simple connection of different types and sources of data, which represents the primary focus of our research.
ER  - 

ČERMÁK, Milan. Toward Graph-Based Network Traffic Analysis and Incident Investigation. In \textit{DFRWS EU 2022}. 2022.