Detailed Information on Publication Record
2023
A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks
SOULA, Meriem, Bacem MBAREK, Aref MEDDEB and Tomáš PITNERBasic 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
Keywords in English
IoT; Intrusion Detection; Security; Trust
Tags
International impact, Reviewed
Změněno: 8/4/2024 16:00, RNDr. Pavel Šmerk, Ph.D.
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.