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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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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 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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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.

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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.

2022-Jun-28
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2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 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 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  1/2021 - 3

A New Visual Cryptography Method Based on the Profile Hidden Markov Model

OZCAN, H. See more information about OZCAN, H. on SCOPUS See more information about OZCAN, H. on IEEExplore See more information about OZCAN, H. on Web of Science, KAYA GULAGIZ, F. See more information about  KAYA GULAGIZ, F. on SCOPUS See more information about  KAYA GULAGIZ, F. on SCOPUS See more information about KAYA GULAGIZ, F. on Web of Science, ALTUNCU, M. A. See more information about  ALTUNCU, M. A. on SCOPUS See more information about  ALTUNCU, M. A. on SCOPUS See more information about ALTUNCU, M. A. on Web of Science, ILKIN, S. See more information about  ILKIN, S. on SCOPUS See more information about  ILKIN, S. on SCOPUS See more information about ILKIN, S. on Web of Science, SAHIN, S. See more information about SAHIN, S. on SCOPUS See more information about SAHIN, S. on SCOPUS See more information about SAHIN, S. on Web of Science
 
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Download PDF pdficon (2,981 KB) | Citation | Downloads: 956 | Views: 1,910

Author keywords
ciphers, cryptography, hidden Markov models, performance analysis, Viterbi algorithm

References keywords
image(25), encryption(18), security(8), analysis(7), applications(6), algorithm(6), systems(5), processing(5), novel(5), information(5)
No common words between the references section and the paper title.

About this article
Date of Publication: 2021-02-28
Volume 21, Issue 1, Year 2021, On page(s): 21 - 36
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.01003
Web of Science Accession Number: 000624018800003
SCOPUS ID: 85102807425

Abstract
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Digital image capturing technologies and the internet are widely used today. These technologies make it very easy and fast to capture and share personal images in daily life. This causes difficulties in ensuring the confidentiality of private data and risks such as third persons getting hold of these data. The main goal of this study is to develop a user-friendly, powerful and effective method to encrypt digital images. For this aim, we propose a new block encryption method based on the Profile Hidden Markov Model. The method we propose consists of three main components. These are probability vector (PV), initialization vector (IV) and substitution-box (S-box). Encryption is in 24-bit blocks for color images and 8-bit blocks for grayscale images. The encryption rate in the proposed block encryption method is 0.7747 Mbit/s for color images and 1.0535 Mbit/s for the grayscale images. Theoretical analysis and experimental results confirm that the proposed encryption algorithm can provide high security both for color and grayscale images.


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References Weight

Web of Science® Citations for all references: 35,242 TCR
SCOPUS® Citations for all references: 47,022 TCR

Web of Science® Average Citations per reference: 881 ACR
SCOPUS® Average Citations per reference: 1,176 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-07-13 17:03 in 218 seconds.




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