Experimental Data for ISSTA 2025: "DataHook – An Efficient and Lightweight System Call Hooking Technique without Instruction Modification"

This repository contains the experimental data used in the ISSTA 2025 paper titled“DataHook: An Efficient and Lightweight System Call Hooking Technique without Instruction Modification.” The archive file experimental-data.zip includes all the raw data and measurement results presented in the paper. These data were used to evaluate the hooking overhead, deployment time, and performance of DataHook across different application scenarios. For clarity and reproducibility, each dataset is organized according to the sections and figures referenced in the paper.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-08
DOI
https://doi.org/10.5281/zenodo.15174328
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
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article

Experimental Data for ISSTA 2025: "DataHook – An Efficient and Lightweight System Call Hooking Technique without Instruction Modification"

Zenodo (CERN European Organization for Nuclear Research)
Neural dynamics and brain function
article

Experimental Data for ISSTA 2025: "DataHook – An Efficient and Lightweight System Call Hooking Technique without Instruction Modification"

article en

Abstract

This repository contains the experimental data used in the ISSTA 2025 paper titled“DataHook: An Efficient and Lightweight System Call Hooking Technique without Instruction Modification.” The archive file experimental-data.zip includes all the raw data and measurement results presented in the paper. These data were used to evaluate the hooking overhead, deployment time, and performance of DataHook across different application scenarios. For clarity and reproducibility, each dataset is organized according to the sections and figures referenced in the paper.

Zenodo (CERN European Organization for Nuclear Research)
Institute of Information Engineering (CN), University of Chinese Academy of Sciences (CN), China United Network Communications Group (China) (CN)
Openalex Percentile: Top 52%
Neural dynamics and brain function
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