Phishing attacks: An analysis of the victims’ characteristics based on administrative data

C-Tier
Journal: Economics Letters
Year: 2024
Volume: 237
Issue: C

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Using administrative data on phishing attacks targeting almost 150,000 Italian- and German-speaking customers of an Italian bank in 2022–23, we investigate how individual characteristics are associated to the likelihood of victimization. We find that younger customers and Italian speakers are more likely to be victims of phishing, while we find no differences in terms of gender or size of the place of residence.

Technical Details

RePEc Handle
repec:eee:ecolet:v:237:y:2024:i:c:s0165176524001460
Journal Field
General
Author Count
3
Added to Database
2026-01-25