Iris Biometric Login System with 5G Security
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Solution Overview
Problem
Current identification systems rely on multiple passwords, which are cumbersome and insecure, and lack efficient methods for secure communication over freespace.
Innovation Solution
The 5G-WiFi INSIDE SECURE IRIS BIOMETRICS' LOGIN system utilizes a Convolutional Neural Network (CNN) supporting Machine-to-Machine (M2M) system-architecture-evolution solution, incorporating iris biometrics for secure login and communication, enabled by Fifth Generation (5G) technology and Quantum Satellite Multimedia Set-top-boxes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple passwords are used for identification, then security coverage is improved, but ease of operation deteriorates
Solution Approach 1:
The patent combines multiple identification functions (iris biometrics, 5G authentication, WiFi connectivity) into a single integrated login system. This merging allows the system to maintain high security through multiple authentication layers while providing a unified, simple user interface that improves ease of operation.
Solution Approach 2:
The system implements automated iris recognition and authentication that operates without requiring active user participation beyond initial enrollment. The biometric scanning, pattern recognition, and security verification processes occur automatically, eliminating the need for users to manually manage multiple passwords while maintaining robust security.
2Device complexity
If traditional password systems are used, then device complexity is reduced, but reliability deteriorates
Solution Approach 1:
The patent replaces traditional mechanical/password-based authentication systems with biometric iris recognition technology. This substitution uses optical scanning and pattern recognition algorithms to verify identity, providing enhanced security reliability while managing complexity through specialized hardware modules designed for this specific function.
Solution Approach 2:
The system transitions from discrete password parameters to continuous biometric parameters (iris patterns, facial features). This parameter change enables more reliable authentication by using unique physiological characteristics that are difficult to replicate, while the automated processing of these parameters manages the increased complexity through efficient algorithms.
3Reliability
If secure communication protocols are implemented, then security is improved, but loss of time increases
Solution Approach 1:
The system performs security establishment and authentication in advance during the login process. By completing the iris biometric verification and security protocol initialization before data transmission begins, the system ensures secure communication without adding time delays during actual data exchange operations.
Solution Approach 2:
The patent implements continuous encryption and authentication mechanisms that operate throughout the communication process rather than as separate discrete steps. This continuous security approach maintains protection while minimizing time loss by avoiding repeated authentication handshakes during data transmission.
Data Source
AI summary
The invention is embodiment of methods for authentication, and cybersecurity, using 5G-WiFi INSIDE SECURE IRIS BIOMETRICS' LOGIN, configured as an Automated Iris-biometrics-login Identification System (AIIS) cybersecurity software application suite, having varying cybersecure computing functionalities effectively protecting computers, ATM machines, other public-machine, smartphones, other smart-devices, cyber-securing network-computers from cyberattacks, denying unauthenticated logins, cyber-securing Convolutional Neural Network (CNN), supporting and securing Machine-to-Machine (M2M) system-architecture-evolution solution (SAES), providing Global Single-Sign-On (G-SSO) replacing multiple passwords, providing unifying identification processing, automating identifications, with machine learning generic algorithm controlled by Artificial Intelligence (AI). Wherein 5G-WiFi INSIDE SECURE IRIS BIOMETRICS' LOGIN (Automated Iris-biometrics-login Identification System (AIIS) cybersecurity software application suite) embedded within network computer and smart devices of employee(s), subscriber(s), user(s), member(s) and/or client(s), effectively cyber-securing from cyberattacks hacking, spying, phishing, spamming, and other malicious activities, whenever accessing web-browser, search-engine, middleware, and Operating-System (OS) functionalities across multi-language platforms, cyber-securing communication over free space, transmitting space-to-space, space-to-ground, and/or ground-to-space, supporting and securing universal connectivity for communication from Geostationary (GEO) satellites, and Low earth-orbiting (LEO) satellites transmitting relay signals to Satellite Ground Station (SGS) (earth-station/ground terminal) parabolic omnidirectional antenna as space-to-ground transceiver, and/or ground-to-space transceiver, also, as a point-to-point bidirectional transceiver, supporting and securing connection arrangements to subscribers, clients, and/or users, to-and-from telecommunication providers, or internet providers, via Evolved Universal Terrestrial Radio Access Network (E-UTRAN), or Universal Terrestrial Radio Access Network (UTRAN), supporting and securing Global Navigation Satellite System (GNSS) also Global System for Mobile communications (GSM) with Global Positioning System (GPS), and Global Positioning System Aided Geo Augmented Navigation (GAGAN), further supporting and securing Fifth Generation Core Network (5G-CN), and Fifth Generation System (5G-S).