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DifFuzzAR: automatic repair of timing side-channel vulnerabilities via refactoring
by
Ferreira, João F.
, Lima, Rui
, Mendes, Alexandra
, Carreira, Carolina
in
Artificial Intelligence
/ Automation
/ Computer Science
/ Java
/ Software development
/ Software engineering
/ Software Engineering/Programming and Operating Systems
2024
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DifFuzzAR: automatic repair of timing side-channel vulnerabilities via refactoring
by
Ferreira, João F.
, Lima, Rui
, Mendes, Alexandra
, Carreira, Carolina
in
Artificial Intelligence
/ Automation
/ Computer Science
/ Java
/ Software development
/ Software engineering
/ Software Engineering/Programming and Operating Systems
2024
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Do you wish to request the book?
DifFuzzAR: automatic repair of timing side-channel vulnerabilities via refactoring
by
Ferreira, João F.
, Lima, Rui
, Mendes, Alexandra
, Carreira, Carolina
in
Artificial Intelligence
/ Automation
/ Computer Science
/ Java
/ Software development
/ Software engineering
/ Software Engineering/Programming and Operating Systems
2024
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DifFuzzAR: automatic repair of timing side-channel vulnerabilities via refactoring
Journal Article
DifFuzzAR: automatic repair of timing side-channel vulnerabilities via refactoring
2024
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Overview
Vulnerability detection and repair is a demanding and expensive part of the software development process. As such, there has been an effort to develop new and better ways to automatically detect and repair vulnerabilities. DifFuzz is a state-of-the-art tool for automatic detection of timing side-channel vulnerabilities, a type of vulnerability that is particularly difficult to detect and correct. Despite recent progress made with tools such as DifFuzz, work on tools capable of automatically repairing timing side-channel vulnerabilities is scarce. In this paper, we propose DifFuzzAR, a tool for automatic repair of timing side-channel vulnerabilities in Java code. The tool works in conjunction with DifFuzz and it is able to repair 56% of the vulnerabilities identified in DifFuzz’s dataset. The results show that the tool can automatically correct timing side-channel vulnerabilities, being more effective with those that are control-flow based. In addition, the results of a user study show that users generally trust the refactorings produced by DifFuzzAR and that they see value in such a tool, in particular for more critical code.
Publisher
Springer US,Springer Nature B.V
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