A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00130148" target="_blank" >RIV/00216224:14330/23:00130148 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-28694-0_48" target="_blank" >http://dx.doi.org/10.1007/978-3-031-28694-0_48</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-28694-0_48" target="_blank" >10.1007/978-3-031-28694-0_48</a>
Alternative languages
Result language
angličtina
Original language name
A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks
Original language description
Trust is a primary concern, particularly for the Internet of Things (IoT) applications, where constrained devices should be able to effectively detect attacks based on their trust models. The main purpose of this survey is to summarize outstanding research activities on trust-based Intrusion Detection Systems (IDS) in IoT networks. We first summarize the state-of-the-art of trust approaches in IoT according to the trust assessment method, i.e., behavior analysis and recommendation systems. We then discuss major external and internal threats and enumerate the most likely and potentially dangerous attacks on IoT networks to stimulate research efforts in designing and developing effective and efficient IDS systems. Further, we present the state of the art and new insights into trust-based collaborative IDS systems.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Advanced Information Networking and Applications (AINA-2023)
ISBN
9783031286933
ISSN
2367-3370
e-ISSN
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Number of pages
14
Pages from-to
504-517
Publisher name
Springer
Place of publication
Brazil
Event location
Brazil
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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