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Data from: Machine Learning-based Rowhammer Mitigation

Bletsch, Tyler K.; Joardar, Biresh Kumar; Chakrabarty, Krishnendu
2022
Version 1
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This dataset consists of the memory access behavior of various applications including a mix of both normal applications and Rowhammer attacks and associated code. The memory access data is generated using Gem5 v20.1.0.5. We use Gem5 to simulate a 4-core system with Linux OS in full-system mode. The data can be used for Rowhammer research or any other memory related research purpose.

Title
Data from: Machine Learning-based Rowhammer Mitigation
Creator
Bletsch, Tyler K. (Duke University)
Joardar, Biresh Kumar (Duke University)
Chakrabarty, Krishnendu (Duke University)
Contact
Joardar, Biresh Kumar, bireshkumar.joardar@duke.edu
Department
Electrical and Computer Engineering
Publication Date
2022-05-26
Publisher
Duke Research Data Repository
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Text
DOI
https://doi.org/10.7924/r4hh6p604
Other Identifiers
ark: ark:/87924/r4hh6p604
Version
1
License
Collection
Duke Research Data

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