|Título||Design of Data-Injection Adversarial Attacks against Spatial Field Detectors|
|Tipo de publicación||Conference Paper|
|Year of Publication||2016|
|Autores||López-Valcarce, R, Romero, D|
|Conference Name||IEEE Workshop on Statistical Signal Processing (SSP)|
|Conference Location||Palma de Mallorca, Spain|
|Palabras clave||adversarial signal processing, compass, wsn|
Data-injection attacks on spatial field detection corrupt a subset of measurements to cause erroneous decisions. We consider a centralized decision scheme exploiting spatial field smoothness to overcome lack of knowledge on system parameters such as noise variance. We obtain closed-form expressions for system performance and investigate strategies for an intruder injecting false data in a fraction of the sensors in order to reduce the probability of detection. The problem of determining the most vulnerable subset of sensors is also analyzed.