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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining

Participants in the publication
Iberia Medeiros (Author)
Dep. Informática
LASIGE
Nuno Neves (Author)
Dep. Informática
LASIGE
Miguel Correia (Author)

Date of Publication
2016-03-00

Where published
IEEE Transactions on Reliability

Publication Identifiers
ISSN - 0018-9529

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Volume
65
Number
1

Starting page
54
Last page
69

Document Identifiers
URL - http://dx.doi.org/10.1109/tr.2015.2457411
DOI - https://doi.org/10.1109/TR.2015.2457411

Rankings
Web Of Science Q1 (2018) - 2.888 - COMPUTER SCIENCE, SOFTWARE ENGINEERING - SCIE
SCOPUS Q1 (2017) - 1.444 - Electrical and Electronic Engineering
SCOPUS Q1 (2017) - 1.444 - Safety, Risk, Reliability and Quality
SCIMAGO Q1 (2018) - 1.54 - Safety, Risk, Reliability and Quality
SCIMAGO Q1 (2018) - 1.54 - Electrical and Electronic Engineering
SCIMAGO Q1 (2016) - 1.379 - Electrical and Electronic Engineering
SCIMAGO Q1 (2016) - 1.379 - Safety, Risk, Reliability and Quality
SCOPUS Q1 (2015) - 1.769 - Safety, Risk, Reliability and Quality
SCOPUS Q1 (2015) - 1.769 - Electrical and Electronic Engineering
SCOPUS Q1 (2016) - 1.379 - Safety, Risk, Reliability and Quality
SCOPUS Q1 (2016) - 1.379 - Electrical and Electronic Engineering


Export

APA
Iberia Medeiros, Nuno Neves, Miguel Correia, (2016). Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining. IEEE Transactions on Reliability, 65, 54-69. ISSN 0018-9529. eISSN . http://dx.doi.org/10.1109/tr.2015.2457411

IEEE
Iberia Medeiros, Nuno Neves, Miguel Correia, "Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining" in IEEE Transactions on Reliability, vol. 65, pp. 54-69, 2016. 10.1109/TR.2015.2457411

BIBTEX
@article{38855, author = {Iberia Medeiros and Nuno Neves and Miguel Correia}, title = {Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining}, journal = {IEEE Transactions on Reliability}, year = 2016, pages = {54-69}, volume = 65 }