An Effective Replica Node Detection Scheme in Internet of Things Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00130622" target="_blank" >RIV/00216224:14330/23:00130622 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/IWCMC58020.2023.10182793" target="_blank" >http://dx.doi.org/10.1109/IWCMC58020.2023.10182793</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IWCMC58020.2023.10182793" target="_blank" >10.1109/IWCMC58020.2023.10182793</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An Effective Replica Node Detection Scheme in Internet of Things Networks

Popis výsledku v původním jazyce

The importance of Internet of Things (IoT) lies in its far-reaching impact on our daily lives, so it is prone to risks. Therefore, security measures must be considered before deploying IoT networks to avoid intrusions. Most of the relevant work in the literature have been dedicated to improve the intrusion detection system and security systems. However, most current Intrusion Detection System (IDS) approaches suffer from the lack of a proper testing procedures before an actual attack. In this paper, we propose a low-cost solution to detect malicious nodes by ensuring that witness nodes work properly. We propose an effective automatic detection strategy for the test sequence and selection of witness nodes. The goal is to test the automatic correct actions of a witness node when an attacker launches a replication or cloning attack. We present a case study of replication attacks in IoT and use the CupCarbon simulator to evaluate our approach and demonstrate how a compromised node could be detected among witness nodes.

Název v anglickém jazyce

An Effective Replica Node Detection Scheme in Internet of Things Networks

Popis výsledku anglicky

The importance of Internet of Things (IoT) lies in its far-reaching impact on our daily lives, so it is prone to risks. Therefore, security measures must be considered before deploying IoT networks to avoid intrusions. Most of the relevant work in the literature have been dedicated to improve the intrusion detection system and security systems. However, most current Intrusion Detection System (IDS) approaches suffer from the lack of a proper testing procedures before an actual attack. In this paper, we propose a low-cost solution to detect malicious nodes by ensuring that witness nodes work properly. We propose an effective automatic detection strategy for the test sequence and selection of witness nodes. The goal is to test the automatic correct actions of a witness node when an attacker launches a replication or cloning attack. We present a case study of replication attacks in IoT and use the CupCarbon simulator to evaluate our approach and demonstrate how a compromised node could be detected among witness nodes.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

International Wireless Communications & Mobile Computing Conference (IWCMC 2023)

ISBN

9798350333398

ISSN

2376-6492

e-ISSN

—

Počet stran výsledku

6

Strana od-do

608-613

Název nakladatele

IEEE Xplore

Místo vydání

Marrakech,Grand Mogador Menara Hotel

Místo konání akce

Marrakesh, MOROCCO

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001055070000100