Supplementary material for: Challenges and future research directions in Secure Multi-Party Computation for resource-constrained devices and large-scale computations

Published: 12 July 2024| Version 4 | DOI: 10.17632/fng5rn83nd.4
Contributors:
, Cristina Regueiro,
,
,

Description

The data file contains the complete review process of a Systematic Literature Review titled "Challenges and Future Research Directions in Secure Multi-Party Computation for Resource-Constrained Devices and Large-Scale Computations." The purpose of this material is to ensure the literature review is entirely transparent and reproducible. To facilitate the extraction process, the authors utilized the Highlight&Go¹ extension. Consequently, some sheets contain direct results from this tool, while others provide additional information about the review process that may be of interest to the reader. ¹ https://chrome.google.com/webstore/detail/highlightgo/bihmalipgnlomidlpekdnoohiejppfmo

Files

Steps to reproduce

- Related reviews: It gathers metadata about related work. - Selection process: It collects every step to be followed to reproduce the SLR, including search strings and rationales for including or excluding a study. - Scopus-Metadata: It gathers metadata about the selected studies. - PrimaryStudies: It contains the metadata that Highlight&Go automatically collects. - Extractor-View: The complete classification scheme of both extractors after reaching an agreement. - idoia.gamiz: The classification scheme of the first extractor. - cristinaregueiro: The classification scheme of the second extractor. - Auditor-TreeView: It shows an automatic validation of the SLR performed by Highlight&Go. - Study Quality Assessment: A study quality assessment of the selected studies based on the objectives of the SLR.

Institutions

Universidad del Pais Vasco - Campus Bizkaia

Categories

Cryptography, Machine Learning, Big Data, Internet of Things, Literature Review

Licence