Analysis of Forensic Super Timelines

Abstract

As the use and adoption of networked electronic devices grows, their use in conjunction with crimes also increases. Extracting the probative evidence from these devices requires experienced digital forensics examiners. These examiners use several specialized tools that interpret the raw binary data present in digital media. Once the evidentiary artifacts are collected, one of the examiners goals is to assemble a narrative that describes when events occurred based on the time associated with the artifacts. Unfortunately, generating and evaluating these narrative super timelines is a manual and labor intensive process. This research focuses on aiding the examiner in evaluation through the generation of several queries that can extract and connect the temporal artifacts, and produce concise timelines. Extracting and analyzing these concise timelines allows the examiner to decrease the number artifacts to search through from hundreds of thousands of artifacts to only a hundred artifacts or less. Additionally, queries that correlate various artifacts allow the examiner to confirm or deny attribution of the user's actions. Application of the queries presented on a fictitious event demonstrates their ability to reduce the number of artifacts and facilitate the understanding of the activities surrounding the incident.

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 2012
Accession Number
ADA562672

Entities

People

  • Stephen J. Esposito

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Air Force
  • Computational Forensics
  • Computer Programming
  • Computer Programs
  • Computers
  • Database Management Systems
  • Department Of Defense
  • Digital Media
  • Electronic Mail
  • Graphical User Interface
  • Internet
  • Intrusion Detection Systems
  • Intrusion Detectors
  • Operating Systems
  • Spreadsheet Software
  • Time
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Criminal Law
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design

Technology Areas

  • Microelectronics