Discovering software vulnerabilities using data-flow analysis and machine learning-Reference-Cited by-同舟云学术

Discovering software vulnerabilities using data-flow analysis and machine learning

Published:2018-08-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Conference on Availability, Reliability and Security
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Author:

Kronjee Jorrit¹,Hommersom Arjen²,Vranken Harald²

Affiliation:

1. Open University of the Netherlands, Heerlen, The Netherlands

2. Open University of the Netherlands, Heerlen, The Netherlands, Radboud University, Nijmegen, The Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3230833.3230856

Reference42 articles.

1. Control flow analysis

2. Yoshua Bengio Aaron Courville and Pascal Vincent. 2013. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence 35 8 (2013) 1798--1828. 10.1109/TPAMI.2013.50 Yoshua Bengio Aaron Courville and Pascal Vincent. 2013. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence 35 8 (2013) 1798--1828. 10.1109/TPAMI.2013.50

3. Sebastian Bergmann. 2018-02-09T09:54:03Z. Phploc: A Tool for Quickly Measuring the Size of a PHP Project. https://github.com/sebastianbergmann/phploc Sebastian Bergmann. 2018-02-09T09:54:03Z. Phploc: A Tool for Quickly Measuring the Size of a PHP Project. https://github.com/sebastianbergmann/phploc

4. Static analysis for security

5. The relationship between Precision-Recall and ROC curves

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