IfNot: An approach towards mitigating interest flooding attacks in Named Data Networking of Things

Basit Öğe Kaydı
dc.authoridAlam, Shahid/0000-0002-4080-8042
dc.contributor.authorBilgili, Sedat
dc.contributor.authorDemir, Alper Kamil
dc.contributor.authorAlam, Shahid
dc.date.accessioned2025-01-06T17:43:46Z
dc.date.available2025-01-06T17:43:46Z
dc.date.issued2024
dc.description.abstractNamed Data Networking (NDN) has emerged as a model to accommodate content distribution, security, and mobility. Recently, NDN has been applied to the Internet of Things (IoT), referred to as Named Data Networking of Things (NDNoT). In the rapidly evolving landscape of the NDNoT securing data transmission is paramount. The main purpose and contribution of the research presented in this paper is to safeguard the security vulnerabilities of data transmission in NDNoT. This paper specifically addresses the critical issue of interest flooding attacks in NDNoT. These attacks can disrupt network operations posing far-reaching threats to data integrity and availability. To mitigate these attacks and threats the paper introduces the IfNoT mechanism and evaluates its performance through comprehensive simulations in a realistic and recognized simulator, called Cooja. IfNot identifies the potential interest flooding attacker nodes in the NDNoT environment. It reduces the impact of the attack and the undesirable interest traffic caused by such an attack, which optimizes the network resource utilization at a maximum level. The study also explores the influence of key parameters provided by the IfNoT mechanism. Moreover, the study also identifies optimum settings for these parameters to enhance network utilization. When evaluated using various metrics, including success rate, average latency, and total interest traffic, under different conditions and parameter settings, IfNoT was able to counter the interest flooding attacks effectively. IfNoT mechanism is able to increase success ratio up to 28%, decrease average latency up to 31%, and decrease total interest traffic up to 58%.
dc.description.sponsorshipAVATAR project - Scientific and Technological Research Council of Turkey (TUBITAK) [116E227]
dc.description.sponsorshipThis work was supported by the AVATAR project funded by the Scientific and Technological Research Council of Turkey (TUBITAK) [grant number 116E227].
dc.identifier.doi10.1016/j.iot.2024.101076
dc.identifier.issn2543-1536
dc.identifier.issn2542-6605
dc.identifier.scopus2-s2.0-85183572624
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.iot.2024.101076
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2777
dc.identifier.volume25
dc.identifier.wosWOS:001171018200001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofInternet of Things
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectNamed Data Networking (NDN)
dc.subjectInternet of Things (IoT)
dc.subjectInterest flooding attack (IFA)
dc.subjectContiki-NG
dc.subjectmu NDN
dc.titleIfNot: An approach towards mitigating interest flooding attacks in Named Data Networking of Things
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu