Article (Scientific journals)
Why Is Static Application Security Testing Hard to Learn?
Krishnan, Padmanabhan; Cifuentes, Cristina; Li, Li et al.
2023In IEEE Security and Privacy, 21 (5), p. 68 - 72
Editorial reviewed
 

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Keywords :
Application security; Learn+; Machine learning techniques; Machine-learning; Program analysis; Security testing; Security vulnerabilities; State of the art; Computer Networks and Communications; Electrical and Electronic Engineering; Law; Privacy; Machine learning; Security; Testing
Abstract :
[en] In this article, we summarize our experience in combining program analysis with machine learning (ML) to develop a technique that can improve the development of specific program analyses. Our experience is negative. We describe the areas that need to be addressed if ML techniques are to be useful in the program analysis context. Most of the issues that we report are different from the ones that discuss the state of the art in the use of ML techniques to detect security vulnerabilities.
Disciplines :
Computer science
Author, co-author :
Krishnan, Padmanabhan ;  Oracle Labs, Brisbane, Australia
Cifuentes, Cristina;  Oracle Labs, Brisbane, Australia
Li, Li ;  Beihang University
BISSYANDE, Tegawendé François d Assise  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
KLEIN, Jacques  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
External co-authors :
yes
Language :
English
Title :
Why Is Static Application Security Testing Hard to Learn?
Publication date :
September 2023
Journal title :
IEEE Security and Privacy
ISSN :
1540-7993
eISSN :
1558-4046
Publisher :
Institute of Electrical and Electronics Engineers Inc.
Volume :
21
Issue :
5
Pages :
68 - 72
Peer reviewed :
Editorial reviewed
Available on ORBilu :
since 27 November 2023

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