DDoS attack detection techniques in IoT networks: a survey
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The Internet of Things (IoT) is a rapidly emerging technology that has become more valuable and vital in our daily lives. This technology enables connection and communication between objects and devices and allows these objects to exchange information and perform intelligent operations with each other. However, due to the scale of the network, the heterogeneity of the network, the insecurity of many of these devices, and privacy protection, it faces several challenges. In the last decade, distributed DDoS attacks in IoT networks have become one of the growing challenges that require serious attention and investigation. DDoS attacks take advantage of the limited resources available on IoT devices, which disrupts the functionality of IoT-connected applications and services. This article comprehensively examines the effects of DDoS attacks in the context of the IoT, which cause significant harm to existing systems. Also, this paper investigates several solutions to identify and deal with this type of attack. Finally, this study suggests a broad line of research in the field of IoT security, dedicated to examining how to adapt to current challenges and predicting future trends. © The Author(s) 2024.
Açıklama
Anahtar Kelimeler
DDoS, Internet of Things, Intrusion Detection, Machine Learning
Kaynak
Cluster Computing
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
27
Sayı
10
Künye
Pakmehr, A., Aßmuth, A., Taheri, N., & Ghaffari, A. (2024). DDoS attack detection techniques in IoT networks: a survey. Cluster Computing, 27(10), 14637-14668.
