Distributed Denial of Service Attack Detection UsingIntuitionistic Fuzzy Logic-based Trusted Node

This article proposes a general and lightweight security mechanism to detect malicious using an Intuitionistic Fuzzy Set (IFS).It is based on the principle of zero trust i.e., trust nothing and treat everything as hostile. While intuitionistic fuzzy logic has been used toremove uncertainty, the Fog architecture makes the proposed algorithm better than the Cloud architecture. When malicious activity isdetected, the proposed algorithm automatically restricts network access to Internet of Things (IoT) devices that initiated this activity andprevent other devices from being targeted. The proposed algorithm has been evaluated for Distributed Denial of Service (DDoS) attacksand the results of this evaluation have shown that the accuracy of the proposed algorithm works very well compared to other algorithms,and this algorithm is also very scalable.