p 2022

Toward Graph-Based Network Traffic Analysis and Incident Investigation

ČERMÁK, Milan

Basic information

Original name

Toward Graph-Based Network Traffic Analysis and Incident Investigation

Authors

ČERMÁK, Milan

Edition

DFRWS EU 2022, 2022

Other information

Language

English

Type of outcome

Vyžádané přednášky

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Organization

Ústav výpočetní techniky – Repository – Repository

Keywords in English

Network Forensics;Graph Database;Incident Investigation;Dgraph;Zeek;Association-based Analysis

Links

833418, interní kód Repo.
Změněno: 31/3/2022 04:20, RNDr. Daniel Jakubík

Abstract

V originále

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.

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