A Faceted Classification of Authenticator-Centric Authentication Techniques

Zenodo (CERN European Organization for Nuclear Research)

Abstract

This data repository contains all data we used in our study to develop a faceted classification scheme for authentication techniques. The repository is structured into 5 folders. Each folder contains the data that was used and generated in each of the steps of our methodology. - Step_1: Meta-Query, the python script that was used to query IEEE Xplore, and meta-data to all papers identified. - Step_2: Relavance Screening Prompt, the list of extracted relevant papers, and the results of the 5% sample that formed the ground truth and the comparison data by the LLM screening. - Step-3_4: All clusters we identified through semantic clustering. - Step_5: All authenticators and authentication techniques we identified, including a reference to the paper it was extracted from. - Step_6: The cecklist we developed and one positive and negative example of its application. Details on the methodology are presented in the paper.

Authors 5

1. Alex R. Mattukat Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

2. Vincent Schmandt Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

3. Langstrof Timo Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

4. Zerbe Michael Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

5. Horst Lichter Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University