A Survey of Intrusion Detection-based Trust Management
Approaches  in IoT Networks

D 2023

A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks

SOULA, Meriem; Bacem MBAREK; Aref MEDDEB a Tomáš PITNER

Základní údaje

Originální název

A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks

Autoři

SOULA, Meriem; Bacem MBAREK; Aref MEDDEB a Tomáš PITNER

Vydání

37. vyd. Brazil, International Conference on Advanced Information Networking and Applications (AINA-2023), od s. 504-517, 14 s. 2023

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/23:00130148

Organizační jednotka

Fakulta informatiky

ISBN

978-3-031-28693-3

ISSN

DOI

https://doi.org/10.1007/978-3-031-28694-0_48

EID Scopus

2-s2.0-85151052126

Klíčová slova anglicky

IoT; Intrusion Detection; Security; Trust

Štítky

core_B, firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 8. 4. 2024 16:00, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Citovat

SOULA, Meriem; Bacem MBAREK; Aref MEDDEB a Tomáš PITNER. A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks. Online. In Leonard Barolli. International Conference on Advanced Information Networking and Applications (AINA-2023). 37. vyd. Brazil: Springer, 2023, s. 504-517. ISBN 978-3-031-28693-3. Dostupné z: https://doi.org/10.1007/978-3-031-28694-0_48.

@inproceedings{2244237,
   author = {Soula, Meriem and Mbarek, Bacem and Meddeb, Aref and Pitner, Tomáš},
   address = {Brazil},
   booktitle = {International Conference on Advanced Information Networking and Applications (AINA-2023)},
   doi = {https://doi.org/10.1007/978-3-031-28694-0_48},
   edition = {37},
   editor = {Leonard Barolli},
   keywords = {IoT; Intrusion Detection; Security; Trust},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Brazil},
   isbn = {978-3-031-28693-3},
   pages = {504-517},
   publisher = {Springer},
   title = {A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks},
   year = {2023}
}

TY  - CONF
ID  - 2244237
AU  - Soula, Meriem - Mbarek, Bacem - Meddeb, Aref - Pitner, Tomáš
PY  - 2023
TI  - A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks
PB  - Springer
CY  - Brazil
SN  - 9783031286933
KW  - IoT
KW  - Intrusion Detection
KW  - Security
KW  - Trust
N2  - 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.
ER  -

SOULA, Meriem; Bacem MBAREK; Aref MEDDEB a Tomáš PITNER. A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks. Online. In Leonard Barolli. \textit{International Conference on Advanced Information Networking and Applications (AINA-2023)}. 37. vyd. Brazil: Springer, 2023, s.~504-517. ISBN~978-3-031-28693-3. Dostupné z: https://doi.org/10.1007/978-3-031-28694-0\_{}48.

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