Visible to the public A Novel Congestion-Aware Interest Flooding Attacks Detection Mechanism in Named Data Networking

TitleA Novel Congestion-Aware Interest Flooding Attacks Detection Mechanism in Named Data Networking
Publication TypeConference Paper
Year of Publication2019
AuthorsBenmoussa, Ahmed, Tahari, Abdou el Karim, Lagaa, Nasreddine, Lakas, Abderrahmane, Ahmad, Farhan, Hussain, Rasheed, Kerrache, Chaker Abdelaziz, Kurugollu, Fatih
Conference Name2019 28th International Conference on Computer Communication and Networks (ICCCN)
KeywordsComputer architecture, computer network security, Computer science, congestion-aware IFA attack detection, congestion-aware interest flooding attacks detection mechanism, data requests, Data security, delays, Denial of Service attacks, DoS attacks, Floods, future Internet architecture, ICN architectures, Information Centric Network, Information Centric Networks, information-centric networking architectures, interest flooding attacks, Internet, IP networks, named data networking, NDN router, network congestion, pubcrawl, resilience, Resiliency, Scalability, security, telecommunication network routing
AbstractNamed 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.
Citation Keybenmoussa_novel_2019