Malware Detection

Abstract

Develop tools and capabilities to detect and classify malware in avionics software and firmware to preclude their introduction into avionics systems and, in the event of a system breech, develop capabilities to operate in the presence of the threat. Activities in this area are focused on developing a feature set indicative of deceptive or malicious behavior that will be used in conjunction with machine learning algorithms to detect zero-day attacks on avionics systems.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2017
Source ID
b80a4014dd4e42840d92fbcf5fbdf8d9

Tags

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Sensor Fusion and Tracking Systems.
  • Software Engineering.

Technology Areas

  • AI & ML
  • Cyber

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