Malicious Activity Detection Using Wireless Communication and Biometric Authentication in a Cyber-Physical System

[摘要] Biometric technology has recently been extensively integrated intomobile devices to improve their security.Biometrics play a significant role instrengthening the detection of this privacy application as financial technology(FinTech) uses mobile applications and devices as promotional platforms. Thesalp swarm optimization with auto-encoder based biometric authentication(SSOAE-BMA) model for abnormal activity detection in Fintech bankingapplications based on wireless communication is presented in this paper.The SSOAE-BMA model's main goal is to use biometric matching to properlyauthenticate people.In the beginning, the stacked ResNet-50 model is used toderive feature vectors in the presented SSOAE-BMA model. Following that,the SSOAE-BMA model makes use of AE for biometric verification. The SocialSpider Optimization (SSO) .

[关键词] Biometric technology;SSOAE-BMA mode