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Detecting Sql Injection Vulnerabilities Using Nature-Inspired Algorithms

AuthID
P-00W-Z15

Author(s)

Baptista, K

Bernardino, AM

Bernardino, EM

Editor(s)

Groen,D;DeMulatier,C;Paszynski,M;Krzhizhanovskaya,VV;Dongarra,JJ;Sloot,PMA

Document Type

Proceedings Paper

Year published

2022

Published

in COMPUTATIONAL SCIENCE, ICCS 2022, PT IV in Lecture Notes in Computer Science, ISSN: 0302-9743

Volume: 13353 LNCS, Pages: 451-457 (7)

Conference

22Nd Annual International Conference on Computational Science (Iccs), Date: JUN 21-23, 2022, Location: Brunel Univ London, London, ENGLAND, Sponsors: Univ Amsterdam,NTU Singapore,Univ Tennessee, Host: Brunel Univ London

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Publication Identifiers

DOI: 10.1007/978-3-031-08760-8_38

SCOPUS: 2-s2.0-85134300761

Wos: WOS:000870274900038

Source Identifiers

ISSN: 0302-9743

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Detecting Sql Injection Vulnerabilities Using Nature-Inspired Algorithms

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