This paper studies the attack behavior in multimode fiber networks, and establishes a mathematical statistical analysis model of the attack behavior with transfer learning ability. The big data fusion analysis of multi-mode fiber network intrusion based on transfer learning is carried out by using fuzzy information fusion method, and the statistical characteristics of network intrusion are constructed. The multi-mode FBN multi-source heterogeneous data fusion technology based on decision feedback adjustment is studied. In this paper, the extraction method of correlation feature of multimode optical fiber network is studied. The frequency domain analysis technique is used to match the characteristics of multi-mode input signals. Through the simulation of power consumption simulation software Prime Power, it is found that the unprotected circuit can be breached within 1000 energy consumption curves, and the circuit using this design can resist more than 10000 energy consumption curves. Note The security of the AES algorithm engine has been significantly improved.
The multi-mode FBN multi-source heterogeneous data fusion technology based on AES algorithm
2023-10-11
2776470 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Traffic management system based on multi-source heterogeneous data fusion technology
Europäisches Patentamt | 2021
|Risk ship detection method based on multi-source heterogeneous data fusion
Europäisches Patentamt | 2021
|Distributed multi-source heterogeneous traffic data fusion method and device
Europäisches Patentamt | 2021
|Parking space informatization system based on multi-source heterogeneous sensor fusion
Europäisches Patentamt | 2023
|