Securing IoT Devices: A Literature Survey with Experimental Insights into Threat Detection and Mitigation

This paper presents a comprehensive review of techniques developed to secure Internet of Things (IoT) infrastructures, motivated by the exponential growth of connected devices and their associated vulnerabilities. In addition to reviewing recent advances in the field, the paper provides experimental...

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Vydáno v:Advances in Electrical and Computer Engineering Ročník 25; číslo 2; s. 69 - 80
Hlavní autoři: TIMOFTE, E. M., DIMIAN, M., GRAUR, A., POTORAC, A. D., BALAN, D. G., HRITCAN, D., PUSCASU, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Suceava Stefan cel Mare University of Suceava 01.06.2025
Témata:
Anomalies
Artificial intelligence
Authentication
Comparative analysis
Cybersecurity
Data encryption
data privacy
Data security
encryption
Internet of Things
intrusion detection
Intrusion detection systems
Literature reviews
Malware
Real time
Risk management
security
Romania
ISSN:1582-7445, 1844-7600
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Shrnutí:This paper presents a comprehensive review of techniques developed to secure Internet of Things (IoT) infrastructures, motivated by the exponential growth of connected devices and their associated vulnerabilities. In addition to reviewing recent advances in the field, the paper provides experimental validation of selected methods through controlled simulations and real-world test scenarios. The analysis covers encryption protocols, authentication mechanisms, and artificial intelligence-based intrusion detection, emphasizing the effectiveness of layered defence strategies that include anomaly detection and real-time incident response. The study highlights both the technical limitations of current IoT devices and the potential of adaptive security models when properly implemented. It also highlights the importance of combining technical assurance with standardized risk management policies to increase system resilience. By integrating theoretical knowledge with practical experiments, the article contributes to the development of more robust and adaptive IoT security frameworks. Index Terms--security, intrusion detection, authentication, encryption, data privacy.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1582-7445
1844-7600
DOI:10.4316/AECE.2025.02008