2020
Enhanced Network Intrusion Detection System Protocol for Internet of Things
MBAREK, Bacem, Mouzhi GE a Tomáš PITNERZákladní 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
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.