DEEPWAVE: Automated Radio Signal and Protocol Classification Through Deep Learning for Waveform Vulnerability Discovery
Abstract
The objective of this effort is to study the effects of advanced protocol attacks without the cooperation of the legitimate wireless systems, while the attackers are capable of inferring the protocol information of legitimate networks based on classification and pattern recognition techniques, including deterministic learning and deep learning.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 14, 2021
- Source ID
- FA87502010501
Entities
People
- Zhangyu Guan
Organizations
- Rome Laboratory
- United States Air Force
- University at Buffalo