Trust-based Detection Strategy against Replication Attacks in IoT
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00121148" target="_blank" >RIV/00216224:14330/21:00121148 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-75075-6_53" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-75075-6_53</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-75075-6_53" target="_blank" >10.1007/978-3-030-75075-6_53</a>
Alternative languages
Result language
angličtina
Original language name
Trust-based Detection Strategy against Replication Attacks in IoT
Original language description
The integration of 6LoWPAN standard in the Internet of Things (IoT) has been emerging and applied in many domains such as smart transportation and healthcare. However, given the resource constrained nature of nodes in the IoT, 6LoWPAN is vulnerable to a variety of attacks, among others, replication attack can be launched to consume the node’s resources and degrade the network’s performance. 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 other two strategies of brute-force and first visited with a thorough simulation, taking into account the detection probability for compromised attacks and the execution time of transactions. The simulation results show that the proposed trust-based strategy can significantly increase the detection probability to 90% on average against replication attacks, while within the number of nodes up to 1000 the detection runtime on average keeps around 60 s.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 35th International Conference on Advanced Information Networking and Applications (AINA-2021)
ISBN
9783030750749
ISSN
2367-3370
e-ISSN
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Number of pages
11
Pages from-to
646-656
Publisher name
Springer
Place of publication
Toronto, Canada
Event location
Toronto, Canada
Event date
May 12, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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