Behavioral Analytics for Secure Device Handoff Identification
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Solution Overview
Problem
The increasing size and functionality of the Internet and other networks pose significant security challenges, as they enable malicious activities such as data theft and interference, with existing security measures being inadequate to protect against these threats.
Innovation Solution
A multi-layered security platform architecture that combines encryption and other security features to create a secure environment, utilizing security-hardened code, secure network transport, and advanced authentication methods like CyberEye multi-factor authentication, along with post-quantum encryption and behavioral analytics for secure data transmission and user identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security measures are used, then implementation is simple, but security reliability is insufficient against malicious attacks
Solution Approach 1:
The security system is divided into multiple independent layers including network transport security, application security, data security, and device security. Each layer implements specific security functions independently, allowing the system to achieve high reliability through layered defense while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent combines multiple security technologies including post-quantum encryption algorithms, behavioral biometrics, multi-factor authentication, and secure enclaves into a composite security system. This integration of diverse security mechanisms creates a robust security framework that addresses various attack vectors simultaneously.
2Reliability
If behavioral analytics are implemented for user identification, then authentication reliability improves, but processing time increases
Solution Approach 1:
The system continuously collects and analyzes behavioral biometric data in the background during normal device usage, building user profiles and establishing baseline behaviors before authentication is needed. This preliminary analysis enables rapid authentication decisions when required, reducing authentication time while maintaining high reliability.
Solution Approach 2:
Behavioral analytics operate continuously in the background, constantly monitoring and analyzing user interactions with the device. This continuous data collection and analysis ensures that authentication decisions are based on up-to-date behavioral patterns, improving reliability without requiring time-consuming batch processing.
Data Source
AI summary
A security platform architecture is described herein. The security platform architecture includes multiple layers and utilizes a combination of encryption and other security features to generate a secure environment.