Software Engineering Institute Advanced Technology Development in the Area of Information Assurance and Cyber Security

Abstract

Powerful machine learning algorithms can be subverted by malicious manipulation or falsification of data collected through normal channels. Algorithms must be trusted and effective in the presence of adversaries. This thrust seeks to defend against and minimize the impacts of information falsification attacks. Additionally, this thrust seeks to increase the security of network-centric autonomous systems. These systems are currently developed with a focus on function rather than security, which makes them particularly vulnerable to cyber-attacks.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2018
Source ID
375968be9bc1812604fdbee3f4dee195

Tags

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Military Science and Technology Research and Modernization.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Cyber

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