VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark WebDownload PDF

Published: 12 Oct 2022, Last Modified: 12 Mar 2024NeurIPS 2022 Datasets and Benchmarks Readers: Everyone
Keywords: authorship verification, dark web, authorship identification, authorship analysis, forensics, cybersecurity, natural language processing
TL;DR: We release datasets for authorship verification and identification collected from two DarkWeb forums and a DarkWeb-related subreddit
Abstract: The Dark Web represents a hotbed for illicit activity, where users communicate on different market forums in order to exchange goods and services. Law enforcement agencies benefit from forensic tools that perform authorship analysis, in order to identify and profile users based on their textual content. However, authorship analysis has been traditionally studied using corpora featuring literary texts such as fragments from novels or fan fiction, which may not be suitable in a cybercrime context. Moreover, the few works that employ authorship analysis tools for cybercrime prevention usually employ ad-hoc experimental setups and datasets. To address these issues, we release VeriDark: a benchmark comprised of three large scale authorship verification datasets and one authorship identification dataset obtained from user activity from either Dark Web related Reddit communities or popular illicit Dark Web market forums. We evaluate competitive NLP baselines on the three datasets and perform an analysis of the predictions to better understand the limitations of such approaches. We make the datasets and baselines publicly available at https://github.com/bit-ml/VeriDark .
Author Statement: Yes
Supplementary Material: pdf
URL: https://github.com/bit-ml/VeriDark/tree/master/datasets
Dataset Url: The datasets are listed at this github page https://github.com/bit-ml/VeriDark/tree/master/datasets. The Zenodo links are available at the following links: - SilkRoad1 authorship verification dataset: https://zenodo.org/record/6998371 - Agora authorship verification dataset: https://zenodo.org/record/7018853 - DarkReddit+ authorship verification dataset: https://zenodo.org/record/6998375 - DarkReddit+ author identification dataset: https://zenodo.org/record/6998363
Dataset Embargo: N/A
License: Creative Commons Attribution 4.0 International (CC-BY-4.0)
Contribution Process Agreement: Yes
In Person Attendance: Yes
Community Implementations: [![CatalyzeX](/images/catalyzex_icon.svg) 1 code implementation](https://www.catalyzex.com/paper/arxiv:2207.03477/code)
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