IoT Command Validation via Digital Footprint and Location Analysis
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Solution Overview
Problem
Current IoT computing systems lack adequate security for authorizing sensitive commands, as voice authorization can be hacked and spoofed, leading to vulnerabilities in digital assistants and other IoT devices.
Innovation Solution
A cognitive system employing machine learning operations to analyze a user's digital footprint and physical location to validate AI commands, determining eligibility and intent, thereby preventing hacking and spoofing by combining monitored digital interactions with location data to authenticate user intentions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice authorization is used for IoT device control, then ease of operation is improved, but security is worsened due to vulnerability to hacking and spoofing
Solution Approach 1:
The patent introduces location data and digital footprint analysis as intermediary validation layers between the voice command and device execution. The system mediates authorization by cross-referencing voice commands with location information and user behavior patterns, preventing spoofing while maintaining voice-based operation
Solution Approach 2:
The system performs preliminary validation of user location and digital footprint before executing voice commands. By pre-establishing location context and analyzing digital footprints in advance, the system prepares authorization criteria that must be satisfied before command execution, enhancing security without complicating the interaction
2Reliability
If traditional authorization methods are used, then security is improved, but ease of operation is worsened due to complex authentication requirements
Solution Approach 1:
The system performs self-validation by automatically analyzing location data and digital footprints without requiring explicit user authentication actions. The authorization process serves itself by using inherently available data (location, usage patterns) to validate commands, eliminating complex authentication steps while maintaining security
3Reliability
If location-based validation is implemented, then security is improved, but device complexity is worsened
Solution Approach 1:
The patent leverages multi-functionality of existing system components by using location services and digital footprint tracking for dual purposes: standard operational context provision and security validation. This universal use of existing data sources enhances security without requiring dedicated hardware or complex additional systems
Data Source
AI summary
Various embodiments are provided for validating commands for hacking and spoofing prevention in an Internet of Things (IoT) computing environment by a processor. An eligibility of a user to issue a command to an IoT device may be cognitively determined according to a digital footprint and a location of the use. User intent may be established according to the digital footprint. The command issued to the IoT device may be validated according to the location of the user and the user intent.