Data for: Abusability of automation apps in intimate partner violence

The research investigates how popular automation apps—Apple Shortcuts, Tasker, IFTTT, and Samsung Modes & Routines—can be exploited maliciously in intimate partner violence (IPV) contexts. The study systematically examines the capabilities of these apps to facilitate surveillance, control, and harassment. We designed an LLM-based detector to investigate whether an iOS Shortcut recipe is capable of performing a surveillance, lockout/control, overloading, or impersonation attack. The detector takes the iCloud URL of shared Shortcuts, parses that into an LLM-readable format, and analyzes using LLM-detector. In total, we evaluated 12,962 publicly available Apple Shortcut recipes to identify those capable of IPV abuse., , # Data for: Abusability of automation apps in intimate partner violence

Dataset DOI: [10.5061/dryad.b2rbnzssm](10.5061/dryad.b2rbnzssm)

## Description of the data and file structure

This dataset includes our LLM detector, data preparation scripts, and evaluated Shortcut recipes about IPV (Intimate Partner Violence) attacks. 

### Files and variables

#### File: final_labels_pseudonymized_csv.zip (CSV files)

**Description:** includes all CSV files of trinary results of whether a recipe can cause IPV harms, labeled by LLM. If you need the mapping from pseudo-names to real names, please contact us. All files include the following three fields:

* Input File: string, the pseudo-mapped names of online Shortcut recipes.
* Action: one from overload, impersonation, spy, and lockout. Indicate which attack operation is evaluated by the LLM for that recipe.
* Response: one from yes, no, or maybe. Yes means the LLM considers this recipe contains 'Action' attack, no is vice versa. Maybe means th...,