“Automatic Detection and Correction of Web Application Vulnerabilities using Data Mining to Predict False Positives”

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|type=inproceedings
|type=inproceedings
|document=Document for Publication-WAP-WWW2014.pdf
|document=Document for Publication-WAP-WWW2014.pdf
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|title=Securing Energy Metering Software with Automatic Source Code Correction
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|title=Automatic Detection and Correction of Web Application Vulnerabilities using Data Mining to Predict False Positives
|author=Ibéria Medeiros, Nuno Neves, Miguel Correia
|author=Ibéria Medeiros, Nuno Neves, Miguel Correia
|Project=Project:SEGRID
|Project=Project:SEGRID

Revision as of 14:11, 23 July 2014

Ibéria Medeiros, Nuno Neves, Miguel Correia

in International World Wide Web Conference (WWW), Seoul, Korea, Apr. 2014.

Abstract:

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Project(s): Project:SEGRID

Research line(s): Fault and Intrusion Tolerance in Open Distributed Systems (FIT)

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