How Can We use Artificial Intelligence technology in user authentication in Wireless Communication?

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Shafagat Mahmudova

Dear Bhausaheb E. Shinde ,

Security provisioning has become a key issue in wireless multimedia networks due to their vital roles in supporting various services. Conventional security solutions have deficiencies in computing efficiency and addressing emerging security challenges. In addition, traditional upper-layer authentication ignores the protection of the physical layer, leading to severe privacy data leakage.

Article Artificial Intelligence-Based Security Authentication: Appli...

Regards,

Shafagat

Yazdani Hasan

Artificial intelligence (AI) technology can be used in user authentication in wireless communication in several ways. Here are some examples:

Behavioral biometrics: AI algorithms can analyze user behavior, such as typing patterns, mouse movements, and touchscreen interactions, to create a unique user profile that can be used for authentication. This can provide a more secure and user-friendly alternative to traditional password-based authentication.

Voice recognition: AI algorithms can analyze a user's voice to create a unique biometric profile that can be used for authentication. Voice recognition can be used in various wireless communication systems, such as voice assistants and mobile banking applications.

Facial recognition: AI algorithms can analyze a user's face to create a biometric profile that can be used for authentication. Facial recognition can be used in mobile devices, such as smartphones and tablets, to unlock the device and access applications.

Multi-factor authentication: AI can be used to analyze multiple factors, such as location, time of day, device information, and biometric data, to authenticate users. This can provide a more secure authentication process that is less susceptible to fraud and hacking.

Anomaly detection: AI algorithms can analyze user behavior patterns to detect anomalies and identify potential security threats. This can be used to trigger additional authentication measures or block suspicious activity.

Overall, AI technology can be used to enhance user authentication in wireless communication by providing more secure, accurate, and user-friendly authentication methods.

Ahshanul Haque

Artificial Intelligence (AI) technology can be used in user authentication in wireless communication in several ways, such as:

Behavioral Bio-metrics: AI can analyze and learn user behavior patterns, such as typing speed, mouse movements, and other unique behavioral characteristics. This information can be used to verify the user's identity.

Voice Recognition: AI can use voice recognition technology to identify a user's voice and compare it to pre-recorded voice samples to authenticate the user.

Facial Recognition: AI can use facial recognition technology to authenticate a user by analyzing their facial features and comparing them to a pre-registered image.

Multi-Factor Authentication: AI can analyze multiple factors to verify a user's identity, such as location, time of day, device used, and other factors.

Machine Learning Algorithms: AI can use machine learning algorithms to analyze user behavior patterns and detect anomalies that may indicate fraudulent activity.

Risk-Based Authentication: AI can use risk-based authentication to analyze various factors, such as login history, location, device, and behavior patterns, to determine the risk level of a login attempt and apply appropriate security measures accordingly.

Overall, AI technology has great potential to enhance the security and accuracy of user authentication in wireless communication, making it more convenient and secure for users.