Fuzzy Adaptive Data Packets Control Algorithm for IoT System Protection

Łukasz Apiecionek (Kazimierz Wielki University, Poland)

Matusz Biedziak (Kazimierz Wielki University, Poland)

Abstract: One of huge problem for recent IT systems are attacks on their resources called Distributed Denial of Service attacks. Many servers which are accessible from public network were a victim of such attacks or could be in the future. Unfortunately, there is still no effective method for protecting network servers against source of the attack, while such attack could block network resources for many hours. Existing solutions for protecting networks and IoT systems are using mainly firewalls and IDS/IPS mechanisms, which is not sufficient. This article presents the method minimizing the DDoS attacks. Proposed method provides possibilities for the network administrators to protect their servers and IoT network resources during the attack. The proposed fuzzy adaptive algorithm is using Ordered Fuzzy Numbers for predicting amount of packets which could be passed over the network boarder gateway. Proposed solution will give the opportunity for ordinary users to finish their work when the attack occurs.

Keywords: DDoS, IoT, critical infrastructure protection, network security

Categories: C.2.1, D.4.6, F.2.1, K.6.5