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 Kurugollu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)


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.

Original languageEnglish
Title of host publication28th International Conference on Computer Communication and Networks (ICCCN 2019)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728118567, 9781728118550
ISBN (Print)9781728118574
Publication statusPublished - 26 Sep 2019
Externally publishedYes
Event28th International Conference on Computer Communications and Networks - Valencia, Spain
Duration: 29 Jul 20191 Aug 2019
Conference number: 28

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
ISSN (Print)1095-2055
ISSN (Electronic)2637-9430


Conference28th International Conference on Computer Communications and Networks
Abbreviated titleICCCN 2019

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