Instant Message Traffic Meta-Data and Its Susceptibility to Traffic Analysis

Abstract

Instant Message (IM) applications are commonly used by both civilian and DOD personnel for bothcommunication and collaboration. The web-based variants of these applications generally ride encryptedchannels for message security. However, these channels may be vulnerable to keystroke timing attackswhereby textual content is determined by the timing of network traffic induced by keyboard events. Anexample of this induced traffic is the activity notifications common to many of these platforms, indicatingwhen a conversant begins typing. Our aim is to determine whether the network traffic that carries thismetadata enables recovering portions of the message or leaks information about the senders identity. Usinga combination of network packet capture analysis and local keystroke logging, we characterize trafficpatterns of three widely used web-based IM platforms: Facebook Messaging, Google Hangouts, and InternetRelay Chat (IRC) through the Kiwi IRC web client.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2020
Accession Number
AD1114735

Entities

People

  • Alexander Arnell
  • Cassondra C. Bullock
  • Jeana M. Verkempinck

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Central Processing Units
  • Command And Control
  • Communication Channels
  • Computer Network Security
  • Computers
  • Cyberspace Operations
  • Data Analysis
  • Department Of Defense
  • Electronic Messaging
  • Html
  • Information Science
  • Internet
  • Local Area Networks
  • Mobile Devices
  • Mobile Phones
  • Network Protocols
  • Networks
  • Operating Systems
  • Social Media
  • Social Networking Services
  • Social Networks
  • Text Messaging
  • Transport Protocols
  • Web Browsers

Fields of Study

  • Computer science

Readers

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  • Computer Networking
  • Distributed Systems and Data Platform Development