Explicit Private Networking for End-to-End IoT Data Security
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Solution Overview
Problem
The proliferation of connected devices in IoT systems presents significant security challenges due to their low compute and data throughput requirements, decentralized nature, and susceptibility to cyberattacks, especially from nation-state actors, with existing protocols lacking robust authentication and hardware protection, leading to increased attack surfaces and vulnerabilities in critical systems.
Innovation Solution
Implementing explicit private networking (EPN) techniques that provide end-to-end security using secure cryptographic key establishment protocols, trusted processing environments, and digital twins to manage and protect data integrity, authentication, and confidentiality across diverse IoT networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional IoT protocols are used to minimize cost and power consumption, then device deployment is easier and power usage is reduced, but security robustness deteriorates and attack surfaces increase
Solution Approach 1:
The system segments security functions into separate microservices (identity management service, device registration service, authentication service, authorization service) that can be independently deployed and managed. This allows conventional IoT devices to use simple protocols while security-critical functions are handled by specialized services with robust security implementations.
Solution Approach 2:
The patent introduces an intermediary identity management system that mediates between conventional IoT devices and the network. This intermediary handles complex authentication, authorization, and credential verification, allowing devices to use simple protocols while the intermediary provides robust security through OAuth 2.0, OpenID Connect, and other security frameworks.
2Adaptability or versatility
If decentralized IoT device architecture is implemented to improve scalability and flexibility, then system adaptability is enhanced, but security vulnerability increases due to larger attack surface
Solution Approach 1:
The patent implements a universal identity management framework that provides multiple security functions (authentication, authorization, credential issuance, device registration) through a single standardized system. This universal approach allows the decentralized IoT architecture to scale while maintaining consistent security policies across all devices through standardized OAuth 2.0 and OpenID Connect protocols.
Solution Approach 2:
The system dynamically changes security parameters based on device type, network location, and operational context. Different security policies are applied to different device categories, and authentication requirements are adjusted based on risk assessment. This allows the system to scale decentralizedly while adapting security measures to minimize attack surfaces for each specific context.
3Reliability
If simple authentication mechanisms are used in IoT devices to reduce hardware requirements, then device cost is reduced, but authentication security deteriorates
Solution Approach 1:
The patent extracts complex authentication and cryptographic operations from resource-constrained IoT devices and relocates them to powerful cloud-based security services. Devices only need to store minimal credentials and perform simple verification, while the cloud services handle complex authentication protocols, key management, and security policy enforcement. This extraction maintains high authentication security while minimizing device hardware requirements.
Solution Approach 2:
The system uses digital twins and virtual representations of devices to handle complex authentication and authorization operations. Instead of requiring every physical device to have full security capabilities, the system creates virtual copies that can be securely managed in the cloud, allowing simple hardware to participate in secure authenticated communications through their digital representations.
Data Source
AI summary
This disclosure relates to, among other things, managing data communicated between systems, services, and/or devices using explicit private networking techniques that provide relatively robust end-to-end security. In some embodiments, explicit private networking techniques may protect data in transit and/or as at rest and/or in use in potentially hostile environments. In various embodiments, an explicit private networking techniques architecture may protect connected device data where and when it is generated by encrypting it and maintaining that protection until it is consumed in a trusted information platform and/or service that uses identity and access management services to identify, authenticate, and/or authorize permissions to read, modify, and/or collaborate with that data and/or control devices and/or issue associated device commands.