Proactive Trust Classification for Detection of Replication Attacks in 6LoWPAN-based IoT
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00122050" target="_blank" >RIV/00216224:14330/21:00122050 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2542660521000858" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2542660521000858</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.iot.2021.100442" target="_blank" >10.1016/j.iot.2021.100442</a>
Alternative languages
Result language
angličtina
Original language name
Proactive Trust Classification for Detection of Replication Attacks in 6LoWPAN-based IoT
Original language description
The 6LoWPAN standard has been widely applied in different Internet of Things (IoT) application domains. However, since the nodes in the IoT are mostly resource constrained, 6LoWPAN is vulnerable to a variety of security attacks. Among others, replication attack is one of the severe security threads to IoT networks. This paper therefore proposes a trust-based detection strategy against replication attacks in IoT, where a number of replica nodes are intentionally inserted into the network to test the reliability and response of witness nodes. We further assess the feasibility of the proposed detection strategy and compare with two other strategies such as brute-force and first visited strategy via a thorough simulation. The evaluation takes into account the detection probability for compromised attacks, the execution time of transactions and rate of communication failure. The simulation results show that while maintaining detection runtime on average 60 s for up to 1000 nodes, the proposed trust-based strategy can significantly increase the detection probability to 90% on average against replication attacks and in turn significantly reduce the communication failure.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Internet of Things; Engineering Cyber Physical Human Systems
ISSN
2543-1536
e-ISSN
2542-6605
Volume of the periodical
16
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
8
Pages from-to
1-8
UT code for WoS article
000723420400014
EID of the result in the Scopus database
2-s2.0-85115010510