Cost-Aware defense of Sensors-to-Decisions System against Malicious Data Attacks
Abstract
The crucial function of sensors-to-decision (S2D) systems makes them appealing targets for cyber warfare. In this proposal, we address the problem of data attacks on an S2D system wherein an adversary falsifies part of data from sensors to perturb machine learning decisions of the system. We will develop a novel attack-cost-aware countermeasure as well as attack information visualization techniques which take into account the vulnerability characteristics of S2D systems of our interest.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 29, 2020
- Source ID
- N001741910009
Entities
People
- Jinsub Kim
Organizations
- Oregon State University
- United States Navy