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The paper presents a Multimodal Fusion-based Continuous Authentication (MFCA) scheme designed to enhance user identity verification by continuously monitoring user behaviors such as keystroke dynamics, mouse movements, and application usage. This approach aims to mitigate risks associated with insider attacks by locking out users upon detection of abnormal behaviors, thereby ensuring data privacy and security. Experimental results indicate that the MFCA system can effectively and accurately identify unautho
- Author
- desppee2
- Language
- EN