Literature DB >> 35890848

A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions.

Usman Khalil1, Owais Ahmed Malik1,2, Mueen Uddin3, Chin-Ling Chen4,5.   

Abstract

Smart devices have become an essential part of the architectures such as the Internet of Things (IoT), Cyber-Physical Systems (CPSs), and Internet of Everything (IoE). In contrast, these architectures constitute a system to realize the concept of smart cities and, ultimately, a smart planet. The adoption of these smart devices expands to different cyber-physical systems in smart city architecture, i.e., smart houses, smart healthcare, smart transportation, smart grid, smart agriculture, etc. The edge of the network connects these smart devices (sensors, aggregators, and actuators) that can operate in the physical environment and collects the data, which is further used to make an informed decision through actuation. Here, the security of these devices is immensely important, specifically from an authentication standpoint, as in the case of unauthenticated/malicious assets, the whole infrastructure would be at stake. We provide an updated review of authentication mechanisms by categorizing centralized and distributed architectures. We discuss the security issues regarding the authentication of these IoT-enabled smart devices. We evaluate and analyze the study of the proposed literature schemes that pose authentication challenges in terms of computational costs, communication overheads, and models applied to attain robustness. Hence, lightweight solutions in managing, maintaining, processing, and storing authentication data of IoT-enabled assets are an urgent need. From an integration perspective, cloud computing has provided strong support. In contrast, decentralized ledger technology, i.e., blockchain, light-weight cryptosystems, and Artificial Intelligence (AI)-based solutions, are the areas with much more to explore. Finally, we discuss the future research challenges, which will eventually help address the ambiguities for improvement.

Entities:  

Keywords:  IoT; authentication; blockchain; cyber-physical system; decentralized ledger technology (DLT); internet of things; security; smart city; smart device

Mesh:

Year:  2022        PMID: 35890848      PMCID: PMC9322843          DOI: 10.3390/s22145168

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.847


  6 in total

1.  Secure Combination of IoT and Blockchain by Physically Binding IoT Devices to Smart Non-Fungible Tokens Using PUFs.

Authors:  Javier Arcenegui; Rosario Arjona; Roberto Román; Iluminada Baturone
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

Review 2.  Machine Learning and Data Mining Methods in Diabetes Research.

Authors:  Ioannis Kavakiotis; Olga Tsave; Athanasios Salifoglou; Nicos Maglaveras; Ioannis Vlahavas; Ioanna Chouvarda
Journal:  Comput Struct Biotechnol J       Date:  2017-01-08       Impact factor: 7.271

3.  A Survey of Internet of Things (IoT) Authentication Schemes.

Authors:  Mohammed El-Hajj; Ahmad Fadlallah; Maroun Chamoun; Ahmed Serhrouchni
Journal:  Sensors (Basel)       Date:  2019-03-06       Impact factor: 3.576

4.  IoT Registration and Authentication in Smart City Applications with Blockchain.

Authors:  Célio Márcio Soares Ferreira; Charles Tim Batista Garrocho; Ricardo Augusto Rabelo Oliveira; Jorge Sá Silva; Carlos Frederico Marcelo da Cunha Cavalcanti
Journal:  Sensors (Basel)       Date:  2021-02-13       Impact factor: 3.576

5.  IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey.

Authors:  Muhammad Burhan; Rana Asif Rehman; Bilal Khan; Byung-Seo Kim
Journal:  Sensors (Basel)       Date:  2018-08-24       Impact factor: 3.576

  6 in total

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