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Filters: Author is Ahmad, Farhan  [Clear All Filters]
2020-01-21
Benmoussa, Ahmed, Tahari, Abdou el Karim, Lagaa, Nasreddine, Lakas, Abderrahmane, Ahmad, Farhan, Hussain, Rasheed, Kerrache, Chaker Abdelaziz, Kurugollu, Fatih.  2019.  A Novel Congestion-Aware Interest Flooding Attacks Detection Mechanism in Named Data Networking. 2019 28th International Conference on Computer Communication and Networks (ICCCN). :1–6.
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.