2022 ARO Workshop on Network Security

Abstract

Major Goals: Information assurance in network science must provide authentic, accurate, secure, reliable, and timely information to warfighters to achieve information dominance, regardless of threat conditions. Computing and information processes may be carried out over distributed and heterogeneous systems, which include mobile edge, mobile computing and communications systems, and high-performance information process systems that are interconnected through both tactical and strategic communication systems. The advancement of machine intelligencehas led to new opportunities for efficient tactical communication systems but also brought in new vulnerabilities. This project focused on a network security workshop on various threat models and adversarial behaviors while exemplifying the corresponding countermeasures under the era of artificial intelligence (AI) and machine learning (ML).

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Document Details

Document Type
Technical Report
Publication Date
Jul 23, 2023
Accession Number
AD1226940

Entities

People

  • Jie Wu

Organizations

  • Temple University

Tags

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Cybersecurity.
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Cyber