PDN-Pulse: Ubiquitous and Inherent Anomaly Detection with Cross-Layer Interactions of Power Delivery Network
Abstract
The Recipient (Washington University in St. Louis) will seek to develop a holistic anomaly detection framework by leveraging the inherent cross-layer system infrastructure of power delivery network (PDN) and to provide a unified approach in detecting anomalous software behaviors and malicious hardware insertions across chip-, board-, and system-levels in commercial-off-the-shelf products.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 30, 2020
- Source ID
- FA87502010505
Entities
People
- Xuan And Yier Jin Zhang
Organizations
- Rome Laboratory
- United States Air Force
- Washington University in St. Louis