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 and Tomáš PITNER

Basic information

Original name

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

Authors

SOULA, Meriem, Bacem MBAREK (788 Tunisia, belonging to the institution), Aref MEDDEB and Tomáš PITNER (203 Czech Republic, belonging to the institution)

Edition

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

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/23:00130148

Organization unit

Faculty of Informatics

ISBN

978-3-031-28693-3

ISSN

DOI

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

Keywords in English

IoT; Intrusion Detection; Security; Trust

Abstract

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 and 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). 37th ed. Brazil: Springer, 2023, p. 504-517. ISBN 978-3-031-28693-3. Available from: https://dx.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 = {http://dx.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  - JOUR
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 and 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)}. 37th ed. Brazil: Springer, 2023, p.~504-517. ISBN~978-3-031-28693-3. Available from: https://dx.doi.org/10.1007/978-3-031-28694-0\_{}48.

Detailed Information on Publication Record