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

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


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SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

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Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

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  3/2016 - 2

An Enhanced Rule-Based Web Scanner Based on Similarity Score

LEE, M. See more information about LEE, M. on SCOPUS See more information about LEE, M. on IEEExplore See more information about LEE, M. on Web of Science, LEE, Y. See more information about  LEE, Y. on SCOPUS See more information about  LEE, Y. on SCOPUS See more information about LEE, Y. on Web of Science, YOON, H. See more information about YOON, H. on SCOPUS See more information about YOON, H. on SCOPUS See more information about YOON, H. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,261 KB) | Citation | Downloads: 655 | Views: 1,900

Author keywords
intrusion detection, access control, information security, web services, security

References keywords
security(10), network(8), vulnerability(7), testing(4), systems(4), software(4), services(4), server(4), information(4), detection(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2016-08-31
Volume 16, Issue 3, Year 2016, On page(s): 9 - 14
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.03002
Web of Science Accession Number: 000384750000002
SCOPUS ID: 84991070805

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This paper proposes an enhanced rule-based web scanner in order to get better accuracy in detecting web vulnerabilities than the existing tools, which have relatively high false alarm rate when the web pages are installed in unconventional directory paths. Using the proposed matching method based on similarity score, the proposed scheme can determine whether two pages have the same vulnerabilities or not. With this method, the proposed scheme is able to figure out the target web pages are vulnerable by comparing them to the web pages that are known to have vulnerabilities. We show the proposed scanner reduces 12% false alarm rate compared to the existing well-known scanner through the performance evaluation via various experiments. The proposed scheme is especially helpful in detecting vulnerabilities of the web applications which come from well-known open-source web applications after small customization, which happens frequently in many small-sized companies.

References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [SCOPUS Times Cited 20]

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[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 6]

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[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 93]

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[CrossRef] [Web of Science Times Cited 104] [SCOPUS Times Cited 177]

[17] N. Antunes, and M. Vieira, "Benchmarking Vulnerability Detection Tools for Web Services," Proc. IEEE International Conference on Web Services, pp. 203-210, 2010.
[CrossRef] [SCOPUS Times Cited 43]

[18] Z. Duric, "WAPTT-Web Application Penetration Testing Tool," Advances in Electrical and Computer Engineering, vol. 14, no. 1, pp. 93-102, 2014.
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 4]

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[CrossRef] [Web of Science Times Cited 104] [SCOPUS Times Cited 177]

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References Weight

Web of Science® Citations for all references: 377 TCR
SCOPUS® Citations for all references: 866 TCR

Web of Science® Average Citations per reference: 13 ACR
SCOPUS® Average Citations per reference: 31 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 2021-06-23 11:43 in 136 seconds.

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Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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