MBAREK, Bacem, Meriem SOULA, Tomáš PITNER and Aref MEDDEB. An Effective Replica Node Detection Scheme in Internet of Things Networks. Online. In International Wireless Communications & Mobile Computing Conference (IWCMC 2023). 19th. Marrakech,Grand Mogador Menara Hotel: IEEE Xplore, 2023, p. 608-613. ISBN 979-8-3503-3339-8. Available from: https://dx.doi.org/10.1109/IWCMC58020.2023.10182793.
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Basic information
Original name An Effective Replica Node Detection Scheme in Internet of Things Networks
Authors MBAREK, Bacem (788 Tunisia, belonging to the institution), Meriem SOULA, Tomáš PITNER (203 Czech Republic, belonging to the institution) and Aref MEDDEB.
Edition 19th. Marrakech,Grand Mogador Menara Hotel, International Wireless Communications & Mobile Computing Conference (IWCMC 2023), p. 608-613, 6 pp. 2023.
Publisher IEEE Xplore
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10200 1.2 Computer and information sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/23:00130622
Organization unit Faculty of Informatics
ISBN 979-8-3503-3339-8
ISSN 2376-6492
Doi http://dx.doi.org/10.1109/IWCMC58020.2023.10182793
UT WoS 001055070000100
Keywords (in Czech) IoT;Intrusion detection;Replication attack;Security
Keywords in English IoT;Intrusion detection;Replication attack;Security
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 7/4/2024 22:54.
Abstract
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.
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