Scopus Eşleşmesi Bulundu
84
Cilt
50283-50321
Sayfa
🔓
Açık Erişim
Scopus Yazarları: Kadriye Nur Erman, Ahmet Cevahir Cinar
Özet
The Internet of Things (IoT) continues to reduce human involvement in daily operations while accelerating the digitalization of various aspects of life. As IoT device applications rapidly expand, the volume of shared and generated data has significantly increased. However, due to the inherent limitations in the architecture of IoT devices, securing locally stored data and ensuring the reliability of data shared across devices has become increasingly challenging. Traditional security measures have proven insufficient in addressing these concerns. In response to the growing need for confidentiality and trust, researchers and cybersecurity analysts have turned to blockchain technology for securing IoT networks. Blockchain, with its decentralized and distributed database architecture, offers a trusted and consistent infrastructure for IoT systems. Its core features—immutability, transparency, authentication, authorization, and secure distributed data storage—enhance the security of data collected from IoT devices. This study provides an in-depth examination of blockchain-based IoT networks. It reviews recent advancements, outlines the current state of research, discusses ongoing challenges, and highlights promising directions for future development. A comprehensive survey of state-of-the-art studies in this field is also presented.
Anahtar Kelimeler (Scopus)
Blockchain
Data reliability
Internet of things
Decentralization
Digitalization
Distributed database
Future perspectives
Data security
Data storage
Anahtar Kelimeler
Blockchain
Data reliability
Internet of things
Decentralization
Digitalization
Distributed database
Future perspectives
Data security
Data storage
Makale Bilgileri
Dergi
Multimedia Tools and Applications
ISSN
1573-7721
Yıl
2025
/ 1. ay
Makale Türü
Özgün Makale
Hakemlik
Hakemli
Endeks
Scopus
Yayın Dili
Türkçe
Kapsam
Uluslararası
Toplam Yazar
2 kişi
Erişim Türü
Elektronik
Erişim Linki
Makaleye Git
Alan
Mühendislik Temel Alanı
Bilgisayar Bilimleri ve Mühendisliği
Yapay Zeka
Makine Öğrenmesi
Büyük Veri
YÖKSİS Yazar Kaydı
Yazar Adı
ERMAN KADRİYE NUR,ÇINAR AHMET CEVAHİR
YÖKSİS ID
8918047
Hızlı Erişim
Metrikler
Yazar Sayısı
2