An Effective Replica Node Detection Scheme in Internet of Things Networks

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
An Effective Replica Node Detection Scheme in Internet of Things Networks
Original language description
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.
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Wireless Communications & Mobile Computing Conference (IWCMC 2023)
ISBN
9798350333398
ISSN
2376-6492
e-ISSN
—
Number of pages
6
Pages from-to
608-613
Publisher name
IEEE Xplore
Place of publication
Marrakech,Grand Mogador Menara Hotel
Event location
Marrakesh, MOROCCO
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001055070000100

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