Decap: Deprivileging Programs by Reducing Their Capabilities

Hasan, Md Mehedi; Ghavamnia, Seyedhamed; Polychronakis, Michalis

doi:10.1145/3545948.3545978

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…As opposed to this, program specialization is being used for data reduction in IOSPReD. Few other related projects like Decap [27] and C2C [24], in software specialization are mainly focused on reducing code bloat to decrease a software's attack surface. On the contrary, IOSPReD specializes code in the context of data debloating.…”

Section: Program Specializationmentioning

confidence: 99%

IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility

et al. 2023

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The data generated by large scale scientific systems such as NASA's Earth Observing System Data and Information System is expected to increase substantially. Consequently, applications processing these huge volumes of data suffer from lack of storage space at the execution site. This poses a critical challenge while sharing data and reproducing application executions w.r.t. specific user inputs in dataintensive applications. To address this issue, we propose IOSPReD (I/O Specialized Packaging of Reduced Datasets), a data-based debloating framework, designed to automatically track and package only necessary chunks of data (along with the application) in a container. IOSPReD uses the specific inputs provided by the user to identify the necessary data chunks. To do so, the high level user inputs are mapped down to low level data file offsets. We evaluate IOSPReD on different realistic NASA datasets to assess (i) the amount of data reduction, (ii) the reproducibility of results across multiple application executions and also (iii) the impact on performance.

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Section: Program Specializationmentioning

confidence: 99%