IoT Capability Platform for Automated Policy Enforcement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current IoT management systems rely heavily on manual implementation of policies, leading to potential errors and inconsistencies in data management, particularly in organizations with disparate computing systems, which can result in system failures, security hazards, and loss of market share due to inadequate monitoring and control of IoT information.
Innovation Solution
A method for identifying, storing, searching, and combining IoT system capabilities using IoT search rules with specifications and constraints, allowing for the characterization and composition of IoT systems to ensure compliance with policies and quality control, leveraging domain-specific languages and machine learning for risk assessment and data monetization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual implementation of IoT management policies is used, then flexibility in policy adaptation is improved, but reliability and consistency of policy enforcement deteriorates
Solution Approach 1:
The system enables self-service through automated policy enforcement where the IoT platform automatically monitors, detects, and responds to policy violations without requiring manual intervention. The automated nature ensures consistent and reliable policy enforcement while maintaining adaptability through configurable policy rules.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring IoT device compliance with policies and automatically generating reports on policy adherence. This feedback loop enables the system to maintain consistent enforcement while allowing for adaptive policy adjustments based on real-time compliance data.
2Reliability
If automated IoT system composition and assessment is implemented, then reliability and security are improved, but device complexity and system overhead increases
Solution Approach 1:
The system achieves universality by providing a unified platform that handles multiple functions including device registration, capability description, policy compliance assessment, security monitoring, and data management. This multi-functional approach improves reliability across diverse IoT scenarios while managing complexity through a single integrated system rather than multiple separate tools.
Solution Approach 2:
The system introduces an intermediary layer in the form of a centralized IoT platform that mediates between diverse IoT devices and various management functions. This intermediary handles the complexity of protocol translation, capability matching, and policy enforcement, thereby improving system reliability without requiring each device to implement complex functionality locally.
3Measurement precision
If comprehensive monitoring and assessment of IoT capabilities is performed, then data quality and information accuracy are improved, but loss of time and processing resources increases
Solution Approach 1:
The system performs preliminary actions by pre-defining capability descriptions, policy rules, and assessment criteria before actual monitoring occurs. Devices register their capabilities in advance using standardized templates, and compliance rules are pre-configured, enabling rapid automated assessment without time-consuming on-site evaluations and ensuring consistent, accurate data quality.
Solution Approach 2:
The system optimizes processing efficiency by dynamically adjusting monitoring parameters and assessment depth based on device priorities, data sensitivity levels, and compliance requirements. This parameter adaptation allows comprehensive monitoring of critical data while reducing processing time for less critical items, maintaining data quality without unnecessary resource expenditure.
Data Source
AI summary
A method for the Internet of Things refers to objects to exchange information over the Internet. An IoT system refers to one or more IoT objects that exchange information and, through those exchanges, produces information that meets an objective or purpose, including the actuation of mechanical systems. An IoT system that refers to a single IoT object may also be referred to as an IoT device. The capability of an IoT systems refers to the information produced by the system to achieve its objective or purpose. The present embodiments may be implemented by computer software on a networked digital computer or a dedicated microprocessor, connected to a digital network. The embodiments create descriptions of IoT systems and provides a means of searching over these descriptions for those satisfying search criteria and a means of composing two or more descriptions to form a description of the composition of IoT systems.