Fusing Heterogeneous Data for Network Asset Classification - A Two-layer Approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F24%3A10133657" target="_blank" >RIV/63839172:_____/24:10133657 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/NOMS59830.2024.10575154" target="_blank" >http://dx.doi.org/10.1109/NOMS59830.2024.10575154</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/NOMS59830.2024.10575154" target="_blank" >10.1109/NOMS59830.2024.10575154</a>

Result language

angličtina

Original language name

Fusing Heterogeneous Data for Network Asset Classification - A Two-layer Approach

Original language description

An essential aspect of cybersecurity management is maintaining knowledge of the assets in the protected network. Automated asset discovery and classification can be done using various methods, differing in reliability and the provided type of information. Therefore, deploying multiple methods and combining their results is usually needed - but this is a nontrivial task. In this paper, we describe our case of how we got to the need for such a data fusion method, how we approached it, and we present our solution - a two-layer data fusion method that can effectively fuse multiple heterogeneous and unreliable sources of information about a network device to classify it. The method is based on a combination of expert-written conditions, machine learning from small amounts of data, and the Dempster-Shafer theory of evidence. We evaluate the method on the task of operating system recognition using data from real network traffic and several generated datasets simulating different conditions.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/LM2023054" target="_blank" >LM2023054: e-Infrastructure CZ</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

NOMS 2024-2024 IEEE Network Operations and Management Symposium

ISBN

979-8-3503-2793-9

ISSN

2374-9709

e-ISSN

—

Number of pages

6

Pages from-to

1-6

Publisher name

IEEE

Place of publication

Seoul, South Korea

Event location

Seoul, South Korea

Event date

May 6, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001270140300051