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Vulnerability Assessment for Unmanned Systems Autonomy Services Architecture
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Yu Li, Wright State University - Main Campus
  • Ivan Frasure, Wright State University - Main Campus
  • Ademola Ayodeji Ikusan
  • Junjie Zhang, Wright State University - Main Campus
  • Rui Dai
Document Type
Conference Proceeding
Publication Date
1-1-2018
Disciplines
Abstract

Unmanned Systems Autonomy Services (UxAS) is a set of networked software modules that collaboratively automate mission-level decision making for unmanned systems. Proposed, developed, and publicized by United States Air Force Research Laboratory (U.S. AFRL), UxAS has strong and promising implications in practice and it can be easily extended to support emulation and practical deployment of unmanned aerial vehicles (UAVs). Therefore, performing vulnerability assessment for UxAS is of significant importance. In this project, we first leveraged the threat-driven method to identify security requirements that focus on UxAS’ confidentiality, integrity, and availability. Next, we designed and developed fuzz tests to evaluate whether UxAS satisfies these requirements. Our experiments have shown that the current version of UxAS is vulnerable to a variety of attacks such as denial of service, message injection/replay, service self-destruct, and timing-based side-channel attacks. Finally, we studied the root-causes for these vulnerabilities and proposed mitigation strategies.

DOI
10.1007/978-3-030-02744-5_20
Citation Information
Yu Li, Ivan Frasure, Ademola Ayodeji Ikusan, Junjie Zhang, et al.. "Vulnerability Assessment for Unmanned Systems Autonomy Services Architecture" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018) p. 266 - 276 ISSN: 03029743
Available at: http://works.bepress.com/junjie_zhang/30/