Scholarlink

SCAPE is a novel password-guessing method that extends Probabilistic Context-Free Grammar (PCFG) based approaches by introducing context awareness through word embeddings and similarity search. Evaluated on real-world datasets, including RockYou and various forum leaks, SCAPE consistently outperforms state-of-the-art methods. Our results show that combining classic NLP techniques with semantic similarity search is a powerful and efficient strategy for password guessing in cybersecurity applications.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

SCAPE Semantically Context-Aware Password Generation Using Word Embeddings

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Nadine-Sarah Schüler,
  • Maximilian von Zastrow,
  • Tobias Vent,
  • Michael Eichberg

摘要

SCAPE is a novel password-guessing method that extends Probabilistic Context-Free Grammar (PCFG) based approaches by introducing context awareness through word embeddings and similarity search. Evaluated on real-world datasets, including RockYou and various forum leaks, SCAPE consistently outperforms state-of-the-art methods. Our results show that combining classic NLP techniques with semantic similarity search is a powerful and efficient strategy for password guessing in cybersecurity applications.