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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
Avg review time: 56 days
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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.
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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 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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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
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

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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  2/2017 - 5

 HIGH-IMPACT PAPER 

Hybrid Solution for Privacy-Preserving Access Control for Healthcare Data

SMITHAMOL, M. B. See more information about SMITHAMOL, M. B. on SCOPUS See more information about SMITHAMOL, M. B. on IEEExplore See more information about SMITHAMOL, M. B. on Web of Science, RAJESWARI, S. See more information about RAJESWARI, S. on SCOPUS See more information about RAJESWARI, S. on SCOPUS See more information about RAJESWARI, S. on Web of Science
 
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Download PDF pdficon (1,342 KB) | Citation | Downloads: 1,335 | Views: 3,769

Author keywords
data privacy, electronic medical records, internet of things, cloud, access control

References keywords
encryption(11), cloud(10), attribute(9), security(7), secure(7), data(7), control(6), privacy(5), policy(5), grained(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-05-31
Volume 17, Issue 2, Year 2017, On page(s): 31 - 38
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.02005
Web of Science Accession Number: 000405378100005
SCOPUS ID: 85020138510

Abstract
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The booming in cloud and IoT technologies has accelerated the growth of healthcare system. The IoT devices monitor the patient's health, and upload collected data as Electronic Medical Records (EMRs) to the cloud for storage and sharing. Outsourcing EMRs to the cloud introduce new security and privacy challenges. In this paper, we proposed a novel architecture ensuring security and privacy for the outsourced health records. The proposed model uses partially ordered set (POSET) for constructing the group based access structure and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) to provide fine-grained EMR access control. The modified group based CP-ABE (G-CP-ABE) minimizes the computational overhead by reducing the number of leaf nodes in the access tree. Also, the proposed G-CP-ABE framework merges symmetric encryption and CP-ABE scheme to minimize the overall encryption time. As a result, G-CP-ABE can be used to monitor health conditions even from a resource constrained IoT device. The performance analysis shows the efficiency of the proposed model, making it suitable for practical use.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 10 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 11
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Cited-By CrossRef

[1] eHealth Cloud Security Challenges: A Survey, Al-Issa, Yazan, Ottom, Mohammad Ashraf, Tamrawi, Ahmed, Journal of Healthcare Engineering, ISSN 2040-2295, Issue , 2019.
Digital Object Identifier: 10.1155/2019/7516035
[CrossRef]

[2] Multi-security-level cloud storage system based on improved proxy re-encryption, Shen, Jinan, Deng, Xuejian, Xu, Zhenwu, EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1499, Issue 1, Volume 2019, 2019.
Digital Object Identifier: 10.1186/s13638-019-1614-y
[CrossRef]

[3] Ibn Sina: A patient privacy‐preserving authentication protocol in medical internet of things, Rasslan, Mohamed, Nasreldin, Mahmoud M., Aslan, Heba K., Computers & Security, ISSN 0167-4048, Issue , 2022.
Digital Object Identifier: 10.1016/j.cose.2022.102753
[CrossRef]

[4] Design, Fabrication, and Testing of an IoT Healthcare Cardiac Monitoring Device, Zagan, Ionel, Găitan, Vasile Gheorghiță, Petrariu, Adrian-Ioan, Iuga, Nicolai, Brezulianu, Adrian, Computers, ISSN 2073-431X, Issue 1, Volume 9, 2020.
Digital Object Identifier: 10.3390/computers9010015
[CrossRef]

[5] Access control solutions in electronic health record systems: A systematic review, Cobrado, Usha Nicole, Sharief, Suad, Regahal, Noven Grace, Zepka, Erik, Mamauag, Minnie, Velasco, Lemuel Clark, Informatics in Medicine Unlocked, ISSN 2352-9148, Issue , 2024.
Digital Object Identifier: 10.1016/j.imu.2024.101552
[CrossRef]

[6] Hybrid Secure Cloud Storage data based on improved Encryption Scheme, Deepthi, B., Ramani, G., Deepika, R., Shabbeer., Md, 2021 International Conference on Emerging Smart Computing and Informatics (ESCI), ISBN 978-1-7281-8519-4, 2021.
Digital Object Identifier: 10.1109/ESCI50559.2021.9396842
[CrossRef]

[7] A three tier access control architecture for IoMT (Internet of Medical Things) based networks, Uddin, Mahi, Noor, Rafidah Md, Kolandaisamy, Raenu, FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE & DATA ANALYTICS: Incorporating the 1st South-East Asia Workshop on Computational Physics and Data Analytics (CPDAS 2021), ISBN , Issue , 2023.
Digital Object Identifier: 10.1063/5.0159673
[CrossRef]

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