The Threat of Password Guessing Attacks Exploiting Linguistic Characteristics: A Case Study on the Korean Domains

  • Min Ah Chae*
  • , Won Geun Shin
  • , Sang Yun Jung
  • , Ji Hun Yeom
  • , Dong Ho Jeon
  • , Hee Seok Kim
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a study on password patterns among Korean users by analyzing over 39 million breached email and password datasets, focusing particularly on Korean domain data for the first time. While previous research has concentrated on English-speaking users, with some studies exploring Chinese users, our work focused on the password behaviors of Korean users. By comparing these patterns against those observed in Chinese and English datasets, we uncover unique characteristics and differences, contributing significantly to the field of password guessing research. Our findings highlight the necessity of considering language factors in developing more effective password security measures.

Original languageEnglish
Title of host publication2024 Silicon Valley Cybersecurity Conference, SVCC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350383140
DOIs
Publication statusPublished - 2024
Event2024 Silicon Valley Cybersecurity Conference, SVCC 2024 - Seoul, Korea, Republic of
Duration: 2024 Jun 172024 Jun 19

Publication series

Name2024 Silicon Valley Cybersecurity Conference, SVCC 2024

Conference

Conference2024 Silicon Valley Cybersecurity Conference, SVCC 2024
Country/TerritoryKorea, Republic of
CitySeoul
Period24/6/1724/6/19

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Korean domain data
  • Korean users
  • language dependency
  • password guessing
  • password patterns

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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