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Scopus Özgün Makale Scopus
Applications of blockchain in internet of things: a survey, actual challenges and future perspectives
Multimedia Tools and Applications 2025
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