The Impact of Denial-of-Service Attacks and Queue Management Algorithms on Cellular Networks

Basit Öğe Kaydı
dc.contributor.authorÇakmak, Muhammet
dc.date.accessioned2025-03-23T19:09:01Z
dc.date.available2025-03-23T19:09:01Z
dc.date.issued2024
dc.departmentSinop Üniversitesi
dc.description.abstractIn today's digital landscape, Distributed Denial of Service (DDoS) attacks stand out as a formidable threat to organisations all over the world. As known technology gradually advances and the proliferation of mobile devices, cellular network operators face pressure to fortify their infrastructure against these risks. DDoS incursions into Cellular Long-Term Evolution (LTE) networks can wreak havoc, elevate packet loss, and suboptimal network performance. Managing the surges in traffic that afflict LTE networks is of paramount importance. Queue management algorithms emerge as a viable solution to wrest control over congestion at the Radio Link Control (RLC) layer within LTE networks. These algorithms work proactively, anticipating, and mitigating congestion by curtailing data transfer rates and fortifying defences against potential DDoS onslaughts. In the paper, we delve into a range of queue management methods Drop-Tail, Random Early Detection (RED), Controlled Delay (CoDel), Proportional Integral Controller Enhanced (PIE), and Packet Limited First In, First Out queue (pFIFO). Our rigorous evaluation of these queue management algorithms hinges on a multifaceted assessment that encompasses vital performance parameters. We gauge the LTE network's resilience against DDoS incursions, measuring performance based on end-to-end delay, throughput, packet delivery rate (PDF), and fairness index values. The crucible for this evaluation is none other than the NS3 simulator, a trusted platform for testing and analysis. The outcomes of our simulations provide illuminating insights. CoDel, RED, PIE, pFIFO, and Drop-Tail algorithms emerge as top performers in succession. These findings underscore the critical role of advanced queue management algorithms in fortifying LTE networks against DDoS attacks, offering robust defences and resilient network performance.
dc.identifier.doi10.38016/jista.1225716
dc.identifier.endpage13
dc.identifier.issn2651-3927
dc.identifier.issue1
dc.identifier.startpage1
dc.identifier.trdizinid1230098
dc.identifier.urihttps://doi.org/10.38016/jista.1225716
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1230098
dc.identifier.urihttps://hdl.handle.net/11486/3248
dc.identifier.volume7
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorÇakmak, Muhammet
dc.language.isoen
dc.relation.ispartofZeki sistemler teori ve uygulamaları dergisi (Online)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR_20250323
dc.subjectMühendislik
dc.subjectDeniz
dc.subjectMühendislik
dc.subjectElektrik ve Elektronik
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectTelekomünikasyon
dc.subjectBilgisayar Bilimleri
dc.subjectYapay Zeka
dc.titleThe Impact of Denial-of-Service Attacks and Queue Management Algorithms on Cellular Networks
dc.typeArticle

Dosyalar

Koleksiyon

TR-Dizin İndeksli Yayınlar Koleksiyonu