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Optimal Stealth Trajectory Design to Deceive Anomaly Detection Process
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- A new methodology is proposed to deceive an anomalous trajectory detector by designing ship paths that deviate from the nominal traffic routes in an optimized way. The route planning is formalized as a min-max problem (with respect to surveillance system acquisition instants) focusing on the Kullback-Leibler (KL) divergence between the statistical hypotheses of the nominal and the anomalous trajectories as key performance measure. Modeling the vessel’s dynamic according to the Ornstein-Uhlenbeck (OU) mean-reverting stochastic process, physical, practical, and kinematic requirements are also accounted for forcing several constraints at the design stage. A computationally efficient technique is proposed to handle the resulting non-convex optimization problem, and some case studies are reported to assess its effectiveness.
- Subjects :
- Mathematical optimization
Forcing (recursion theory)
Optimization problem
automatic identification system
maritime anomaly detection
maritime security
Ornstein-Uhlenbeck process
real-world data
statistical hypothesis test
target tracking
Computer science
Stochastic process
Process (computing)
Kinematics
Ornstein-Uhlenbeck process, maritime anomaly detection, statistical hypothesis test, target tracking, automatic identification system, maritime security, real-world data
Trajectory
Anomaly detection
Divergence (statistics)
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....58c7b58349161a9926fe182dfd50863b