Cellular-Signaled Access Control for Bot-Mimicking Detection

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Solution Overview

Problem

Legacy and Analog User Name And Password (UNAP) based security is compromised due to users opting for easy passwords, leading to data breaches and privacy concerns, while existing 2FA methods are vulnerable to interception and manual entry of credentials is insecure, and BOTS are difficult to detect, impacting online trust and democratic processes.

Innovation Solution

Utilizing cellular-signaled access control methods with machine-learning techniques to identify and authenticate users, employing a STAR Challenge (randomly generated digits with symbols) and leveraging cellular identities for secure authentication, enabling seamless and scalable user verification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If legacy username and password security methods are used, then ease of operation is improved (easy to remember passwords), but security reliability deteriorates (compromised due to weak passwords and data breaches)

Engineering Contradiction:
Improveease of password entryVSAvoidsecurity reliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent replaces manual mechanical password entry with automated cellular signal-based authentication. The system uses cellular network signals to automatically verify user identity and transmit authentication codes, eliminating the need for users to manually type passwords or PINs, thereby maintaining ease of operation while significantly improving security through network-based verification

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a cellular network intermediary between the user and the authentication system. The cellular network serves as a trusted mediator that handles authentication codes and signal verification, replacing the vulnerable direct user-input mechanism with a secure network-mediated process that maintains convenience while enhancing security

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If manual entry of credentials is required, then user verification can be performed, but security is compromised due to interception and data breaches

Engineering Contradiction:
Improveuser verification capabilityVSAvoidinterception and data breach vulnerability
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent substitutes manual credential entry with automated cellular signal-based verification. The system uses cellular network infrastructure to automatically transmit and verify authentication codes, replacing the vulnerable manual input mechanism with an automated network-based system that is resistant to interception and data breaches

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The authentication system performs self-verification through cellular network signals without requiring user intervention in the verification process. The system automatically sends authentication codes, receives responses, and verifies identities through the cellular network, eliminating the need for users to manually enter credentials and thereby preventing interception vulnerabilities

Inventive Principle:
Principle #25Self-service

3Productivity

If automated programmable entities (BOTS) are allowed to access networks, then productivity is improved, but security reliability deteriorates due to difficulty in detection and human-BOT differentiation

Engineering Contradiction:
Improveautomated access capabilityVSAvoidaccess control reliability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent implements a feedback mechanism where the cellular network continuously monitors authentication patterns and provides feedback to identify BOTS. The system analyzes behavioral patterns, response times, and authentication sequences to detect automated entities, allowing the network to maintain security while permitting legitimate automated access through verified identifiers

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent changes the authentication parameters from simple username/password pairs to complex cellular signal-based verification including timing patterns, signal characteristics, and multi-factor authentication. These parameter changes make it difficult for BOTS to replicate human authentication behavior while maintaining productivity for verified automated entities

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12413977B2Access controlling network architectures utilizing novel cellular signaled access control and machine-learning techniques to identify when automated programmable entities (such as robots/bots) mimic humans and methods for use thereof
Publication Date: 2025.09.09 STARKEYS LLC
  • US12413977B2 patent drawing
  • US12413977B2 patent drawing
  • US12413977B2 patent drawing

AI summary

In some embodiments, an exemplary access controlling network architecture may include: a computer platform configured to: receive, from an online entity, an action performance request; request, from an access controlling platform, an expected access control digital key to be presented to the online entity; receive the expected access control digital key; instruct to display the expected access control digital key at a computing device; cause a mobile originating communication, having the expected access control digital key and an identity linked to the computing device; determine a lack of a receipt of the access authentication indicator associated with the online entity from the access controlling platform; and perform, due to, for example, the online entity being a BOT, one of: modifying a visual schema of the online entity, disabling the online entity, or suspending one of: a performance of the online entity or the performance of the action by the online entity.