Analysis of Network Infrastructure in the Internet of Things Ecosystem: Protocols and Security

Authors

  • Imam Mualim Department of Informatics Engineering, Universitas Nahdatul Ulama Lampung, Lampung, Indonesia Author
  • Untoro Apsiswanto Department of Information Systems, Universitas Dharmawacana Metro, Metro, Indonesia Author
  • Ridwan Yusuf Department of Information Systems, Universitas Dharmawacana Metro, Metro, Indonesia Author
  • Willy Artanika Rikarda✉ Department of Informatics Engineering, Universitas Nahdatul Ulama Lampung, Lampung, Indonesia Author
Diajukan 26 Agu 2024 Diterbitkan 31 Des 2024
DOI: https://doi.org/10.59025/2e6efc8f

Keywords:

Internet of Things, Communication protocol, Network security, IoT architecture, Edge computing

Abstract

The rapid growth of Internet of Things (IoT) devices surpassing 18 billion units by 2024 exerts serious pressure on conventional network infrastructures that were not designed to manage device heterogeneity at massive scale. This study aims to map the network architecture patterns, communication protocols, and security mechanisms employed in real-world IoT implementations through a systematic literature review of 25 publications from Scopus and accredited national journals (2019–2024). Analysis results indicate that the three-layer architecture (perception–network–application) dominates 56% of the reviewed studies, while MQTT is confirmed as the most efficient communication protocol with minimal overhead, and LoRa demonstrates a range exceeding 2 km with power consumption below 50 mA. Regarding security, AES-256 encryption is identified as the primary cryptographic layer, while deep learning-based intrusion detection systems achieve up to 95% accuracy on benchmark datasets. This study provides a comprehensive architectural map for practitioners and researchers designing scalable and secure IoT solutions in mission-critical environments.

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Cover JTDS Vol 2 No 2 (2024)

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How to Cite

Analysis of Network Infrastructure in the Internet of Things Ecosystem: Protocols and Security. (2024). Journal of Technology and Data Science, 2(2), 53-64. https://doi.org/10.59025/2e6efc8f