Toward the Attribution of Web Behavior

Abstract

As more people browse the Web to gather information recognizing Web browsing behavior signatures can replace or complement keystroke authentication where authentication is defined as the capability of identifying an individual within a set of individuals. We claim that recurring temporal patterns of Web site visits can help identify an individual of interest and more generally, categorize Web browsing behavior. Furthermore just like keystroke authentication, attribution of Web behavior is not obtrusive and has applications in cyberwarfare as a new biometric technique. In this paper we describe some exploratory work and preliminary comparative results of machine learning techniques applicable to the attribution of Web browsing behavior problem.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2012
Accession Number
ADA602793

Entities

People

  • Myriam Abramson

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence Software
  • Computational Science
  • Hidden Markov Models
  • Information Operations
  • Internet
  • Language
  • Learning
  • Machine Learning
  • Markov Models
  • Markov Processes
  • Models
  • Natural Language Processing
  • Probability
  • Reinforcement Learning
  • Social Media
  • Websites

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Database Systems and Applications
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML