A Novel Congestion-Aware Interest Flooding Attacks Detection Mechanism in Named Data Networking
Ahmed Benmoussa, Abdou El Karim Tahari, Nasreddine Lagaa, Abderrahmane Lakas, Farhan Ahmad, Rasheed Hussain, Chaker Abdelaziz Kerrache, Fatih Kurugöllü · 2019
Named Data Networking (NDN) is a promising candidate for future internet architecture. It is one of the implementations of the Information-Centric Networking (ICN) architectures where the focus is on the data rather than the owner of the data. While the data security is assured by definition, these networks are susceptible of various Denial of Service (DoS) attacks, mainly Interest Flooding Attacks (IFA). IFAs overwhelm an NDN router with a huge amount of interests (Data requests). Various solutions have been proposed in the literature to mitigate IFAs; however; these solutions do not make a difference between intentional and unintentional misbehavior due to the network congestion. In this paper, we propose a novel congestion-aware IFA detection and mitigation solution. We performed extensive simulations and the results clearly depict the efficiency of our proposal in detecting truly occurring IFA attacks.