Threat assessment for GPS navigation

Abstract

GPS navigation and guidance has become more prevalent in critical systems such as UAV and shipping. Attacks on GPS are now becoming of greater concern. In this paper, an evidence accrual system is discussed that looks to identify when a GPS navigation system may be compromised. The techniques use a novel fuzzy Kalman filter to drive the evidence generation in conjunction with an image-based correlation technique. The image correlation provides a pattern recognition for complex observations that avoids the identification and development of complex functions. This new evidence accrual system is applied to realistic and complex GPS attack problems.