Improvement of Binary Analysis Components in Automated Malware Analysis Framework

Abstract

This research was conducted to develop components for automated system to analyze malicious software (malware) with minimum human interaction. The system autonomously analyze malware samples by analyzing malware binary program and by monitoring their behavior, then generate data for malware detection signature and for developing their counter measure.

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Document Details

Document Type
Technical Report
Publication Date
Feb 21, 2017
Accession Number
AD1033052

Entities

People

  • Keiji Takeda

Organizations

  • Keio University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Applied Computer Science
  • Classification
  • Computer Network Security
  • Computer Networks
  • Computer Programs
  • Computer Security
  • Computers
  • Control Systems
  • Cybersecurity
  • Data Sets
  • Department Of Defense
  • Detection
  • Digital Data
  • Environment
  • Information Security
  • Instructions
  • Internet
  • Malware
  • Monitoring
  • Scientific Research
  • Security
  • Transient Response Analysis
  • Universities
  • Virtual Machines

Fields of Study

  • Computer science

Readers

  • Computer Programming and Software Development.
  • Distributed Systems and Data Platform Development
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Cyber