D 2023

An Effective Replica Node Detection Scheme in Internet of Things Networks

MBAREK, Bacem, Meriem SOULA, Tomáš PITNER and Aref MEDDEB

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

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

UT WoS

001055070000100

Keywords (in Czech)

IoT;Intrusion detection;Replication attack;Security

Keywords in English

IoT;Intrusion detection;Replication attack;Security
Změněno: 7/4/2024 22:54, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

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.