Thomas Stallings

Information Systems · 2011

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Stallings trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Justin Ma
  2. Lawrence K. Saul

Papers from Thomas Stallings's perspective

Ordered by how strongly the researchers Thomas Stallings trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A framework for detection and measurement of phishing attacks
  2. Identifying suspicious URLs: an application of large-scale online learning
  3. Beyond blacklists: learning to detect malicious web sites from suspicious URLs (Knowledge Discovery and Data Mining)
  4. Large-Scale Automatic Classification of Phishing Pages
  5. A hybrid phish detection approach by identity discovery and keywords retrieval
  6. Identifying almost identical files using context triggered piecewise hashing (Digital Investigation. The International Journal of Digital Forensics and Incident Response)
  7. An Algorithm for Differential File Comparison
  8. Lexical feature based phishing URL detection using online learning
  9. Phishing and Countermeasures: Understanding the Increasing Problem of Electronic Identity Theft
  10. Learning to detect phishing emails

Their papers