Recommending Similar Devices in Close Proximity for Network Security Management

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F23%3A00130904" target="_blank" >RIV/00216224:14610/23:00130904 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/WiMob58348.2023.10187729" target="_blank" >http://dx.doi.org/10.1109/WiMob58348.2023.10187729</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/WiMob58348.2023.10187729" target="_blank" >10.1109/WiMob58348.2023.10187729</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Recommending Similar Devices in Close Proximity for Network Security Management

Popis výsledku v původním jazyce

This paper presents a prototype of a tool for network security management that recommends similar devices in close proximity to a given machine. The task of recommending similar devices helps in analyzing the impact of cyber attacks, providing early warning and mitigating a spreading infection, or investigating an attack. Our tool uses modern graph-based technologies to store and query the data and existing data models that interconnect heterogeneous information about computer networks. By traversing the graph of network entities and calculating similarity scores, the tool suggests which devices are most likely to be exploited along with or after the exploitation of a device in question. The advantage of our tool is that it considers multiple attack vectors, including social engineering.

Název v anglickém jazyce

Recommending Similar Devices in Close Proximity for Network Security Management

Popis výsledku anglicky

This paper presents a prototype of a tool for network security management that recommends similar devices in close proximity to a given machine. The task of recommending similar devices helps in analyzing the impact of cyber attacks, providing early warning and mitigating a spreading infection, or investigating an attack. Our tool uses modern graph-based technologies to store and query the data and existing data models that interconnect heterogeneous information about computer networks. By traversing the graph of network entities and calculating similarity scores, the tool suggests which devices are most likely to be exploited along with or after the exploitation of a device in question. The advantage of our tool is that it considers multiple attack vectors, including social engineering.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/EH22_010%2F0003229" target="_blank" >EH22_010/0003229: MSCAfellow5_MUNI</a><br>

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

ISBN

9798350336672

ISSN

2160-4886

e-ISSN

—

Počet stran výsledku

4

Strana od-do

481-484

Název nakladatele

IEEE

Místo vydání

Montreal

Místo konání akce

Montreal

Datum konání akce

21. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001042200300078