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FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 2.0
Issues per year: 3
Current issue: Jun 2025
Next issue: Nov 2025
Avg review time: 86 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications, ASHOUR, A., KHALAF, A., HUSSEIN, A., HAMED, H., RAMADAN, A.
Issue 1/2023

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LATEST NEWS

2025-Jun-19
Clarivate Analytics published the InCites Journal Citations Report for 2024. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.600 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2025-May-01
Starting from 2025, our Journal will appear 3 times a year. Issues will be published in February, June, and October.

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.600 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

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  2/2025 - 8

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

TIMOFTE, E. M. See more information about TIMOFTE, E. M. on SCOPUS See more information about TIMOFTE, E. M. on IEEExplore See more information about TIMOFTE, E. M. on Web of Science, DIMIAN, M. See more information about  DIMIAN, M. on SCOPUS See more information about  DIMIAN, M. on SCOPUS See more information about DIMIAN, M. on Web of Science, GRAUR, A. See more information about  GRAUR, A. on SCOPUS See more information about  GRAUR, A. on SCOPUS See more information about GRAUR, A. on Web of Science, POTORAC, A. D. See more information about  POTORAC, A. D. on SCOPUS See more information about  POTORAC, A. D. on SCOPUS See more information about POTORAC, A. D. on Web of Science, BALAN, D. G. See more information about  BALAN, D. G. on SCOPUS See more information about  BALAN, D. G. on SCOPUS See more information about BALAN, D. G. on Web of Science, HRITCAN, D. See more information about  HRITCAN, D. on SCOPUS See more information about  HRITCAN, D. on SCOPUS See more information about HRITCAN, D. on Web of Science, PUSCASU, M.
 
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Download PDF pdficon (2,632 KB) | Citation | Downloads: 2 | Views: 7

Author keywords
security, intrusion detection, authentication, encryption, data privacy

References keywords
security(14), systems(12), india(11), roedunet(9), technology(7), network(7), smart(5), privacy(5), internet(5), electronics(5)
No common words between the references section and the paper title.

About this article
Date of Publication: 2025-06-30
Volume 25, Issue 2, Year 2025, On page(s): 69 - 80
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2025.02008

Abstract
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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.


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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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