Anti-black box detection attack robust electromagnetic signal modulation type identification method

• Main Authors: ZHANG ZHENGYU, ZHANG KANGKANG, QI PEIHAN, ZHOU XIAOYU, LI ZAN, AHN JI-HYE, ZHENG SHILIAN, JIANG TAO, WANG DANYANG, MENG YONGCHAO
• Format: Patent
• Language: Chinese; English
• Published: 01.03.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a robust electromagnetic signal modulation type identification method against black box detection attack. The method comprises the following steps: constructing a data set through collected electromagnetic signals; establishing a teacher network, training the teacher network through the data set, and generating a soft label through the trained teacher network; and according to a network structure of an actual electromagnetic signal modulation type identification network, building a student network with the same structure, training the student network through the soft label, the data set and the hard label, and transmitting parameters to the electromagnetic signal modulation type identification network. According to the method, the actual electromagnetic signal modulation type identification network parameters are updated, the black box detection attack resisting effect is achieved, the stronger defense capability can be provided when the countermeasure sample is generated for the black