Enhanced Network Intrusion Detection System Protocol for Internet of Things
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115140" target="_blank" >RIV/00216224:14330/20:00115140 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1145/3341105.3373867" target="_blank" >http://dx.doi.org/10.1145/3341105.3373867</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3341105.3373867" target="_blank" >10.1145/3341105.3373867</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Enhanced Network Intrusion Detection System Protocol for Internet of Things
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Enhanced Network Intrusion Detection System Protocol for Internet of Things
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing
ISBN
9781450368667
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
1156-1163
Název nakladatele
ACM Publishing
Místo vydání
Brno, Czech Republic
Místo konání akce
Brno, Czech Republic
Datum konání akce
1. 1. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000569720900166