D 2020

Enhanced Network Intrusion Detection System Protocol for Internet of Things

MBAREK, Bacem, Mouzhi GE a Tomáš PITNER

Základní údaje

Originální název

Enhanced Network Intrusion Detection System Protocol for Internet of Things

Autoři

MBAREK, Bacem (788 Tunisko, domácí), Mouzhi GE (156 Čína, domácí) a Tomáš PITNER (203 Česká republika, garant, domácí)

Vydání

Brno, Czech Republic, Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing, od s. 1156-1163, 8 s. 2020

Nakladatel

ACM Publishing

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14330/20:00115140

Organizační jednotka

Fakulta informatiky

ISBN

978-1-4503-6866-7

UT WoS

000569720900166

Klíčová slova anglicky

Internet of Things; Network protocol; Security; Intrusion detection systems; Replica detection; Clone attacks

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 14. 5. 2021 09:49, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

With the emergence of the Internet of Things (IoT), different IoT nodes such as 6LoWPAN devices can be connected as a network to provide integrated services. Since security and intrusion detection are becoming crucial among IoT devices, real-time detection of the attacks are critical to protect the IoT networks. However, there exists limited research for efficient network intrusion detection systems (NIDS) in the IoT networks. This paper therefore proposes a new NIDS protocol with an efficient replica detection algorithm to increase the utility and performance of existing NIDS, where a number of replica test nodes are intentionally inserted into the network to test the reliability and response of witness nodes. The proposed protocol, Enhanced NIDS, can address the vulnerability of NIDS and improve IoT network security to detect severe compromise attacks such as clone attacks. The simulation study shows that compared to the state-of-the-art SVELTE protocol, the proposed protocol can significantly increase the detection probability and reduce the energy consumption for detecting clone attacks in IoT networks.