Publication details
A Survey of Intrusion Detection-based Trust Management Approaches in IoT Networks
| Authors | |
|---|---|
| Year of publication | 2023 |
| Type | Article in Proceedings |
| Conference | International Conference on Advanced Information Networking and Applications (AINA-2023) |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1007/978-3-031-28694-0_48 |
| Keywords | IoT; Intrusion Detection; Security; Trust |
| 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. |