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Volumn , Issue , 2016, Pages 1253-1256

Numerical encoding to Tame SQL injection attacks

Author keywords

NETSQLIA; numerical attributes encoding; SQL Injection; SQLIA; SQLIA neurons

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); ENCODING (SYMBOLS); LEARNING SYSTEMS; NETWORK SECURITY; NEURAL NETWORKS; PATTERN MATCHING; PIPELINE PROCESSING SYSTEMS; WORLD WIDE WEB;

EID: 84979769188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NOMS.2016.7502997     Document Type: Conference Paper
Times cited : (12)

References (15)
  • 1
    • 84979755003 scopus 로고    scopus 로고
    • OWASP Top 10-2013
    • OWASP
    • OWASP, "OWASP Top 10-2013," OWASP Top 10, p. 22, 2013
    • (2013) OWASP Top 10 , pp. 22
  • 2
    • 84952319241 scopus 로고    scopus 로고
    • [Accessed: 15-Nov-2015]
    • OWASP, "Web Application Firewall," 2015. [Online]. Available: https://www.owasp.org/index.php/Web-Application -Firewall. [Accessed: 15-Nov-2015]
    • (2015) Web Application Firewall
  • 3
    • 84979730632 scopus 로고    scopus 로고
    • Microsoft azure machine learning studio
    • Microsoft Azure[Accessed: 25-Jan-2015]
    • Microsoft Azure, "Microsoft Azure Machine Learning Studio," Microsoft Azure Machine Learning. [Online]. Available: https://studio.azureml.net/. [Accessed: 25-Jan-2015]
    • Microsoft Azure Machine Learning
  • 4
    • 84979762001 scopus 로고    scopus 로고
    • SQL injection cookbook-oracle-OWASP
    • [Accessed: 01-Jan-2015]
    • Oracle, "SQL Injection Cookbook-Oracle-OWASP," OWASP, 2007. [Online]. Available: ttps://www.owasp.org/index.php/SQL -Injection-Cookbook---Oracle. [Accessed: 01-Jan-2015]
    • (2007) OWASP
  • 5
    • 84979738634 scopus 로고    scopus 로고
    • [Accessed: 19-Feb-2016]
    • Microsoft Azure, "Two-Class Averaged Perceptron," MSDN. [Online]. Available: https://msdn.microsoft.com/en-us/library/az ure/dn906036.aspx. [Accessed: 19-Feb-2016]
    • Two-Class Averaged Perceptron
  • 6
    • 84979755007 scopus 로고    scopus 로고
    • Two-class logistic regression
    • [Accessed: 01-Feb-2016]
    • Microsoft Azure, "Two-Class Logistic Regression," MSDN Library,2015.[Online].Available:https://msdn.microsoft.com/enus/ library/azure/dn905994.aspx. [Accessed: 01-Feb-2016]
    • (2015) MSDN Library
  • 8
    • 50249160574 scopus 로고    scopus 로고
    • KDD cup 1999 dataset
    • S. J. Stolfo, "KDD cup 1999 dataset," UCI KDD Repos. http//kdd.ics.uci.edu, p. 0, 1999
    • (1999) UCI KDD Repos
    • Stolfo, S.J.1
  • 11
    • 72949084588 scopus 로고    scopus 로고
    • SQLProb a proxy-based architecture towards preventing SQL injection attacks
    • A. Liu, Y. Yuan, D. Wijesekera, and A. Stavrou, "SQLProb: A Proxy-based Architecture towards Preventing SQL Injection Attacks," System, pp. 2054-2061, 2009
    • (2009) System , pp. 2054-2061
    • Liu, A.1    Yuan, Y.2    Wijesekera, D.3    Stavrou, A.4
  • 14
    • 84979759629 scopus 로고    scopus 로고
    • Aspx. [Accessed: 07-Jun-2015]
    • MSDN, "Matching Behavior." [Online]. Available: https://msdn.microsoft.com/en-us/library/0yzc2yb0(v=vs.100). Aspx. [Accessed: 07-Jun-2015]
    • Matching Behavior


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.