Enhanced Network Intrusion Detection System Protocol for Internet of Things
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Enhanced Network Intrusion Detection System Protocol for Internet of Things
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing
ISBN
9781450368667
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1156-1163
Publisher name
ACM Publishing
Place of publication
Brno, Czech Republic
Event location
Brno, Czech Republic
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000569720900166