Context-Tagged Access Credentials for Secure Physical Entry
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Solution Overview
Problem
Existing access control systems rely solely on access credentials without considering contextual information, leading to potential unauthorized access when credentials are valid but circumstances are inappropriate.
Innovation Solution
Incorporating contextual information into access control decisions by digital key devices to determine whether to permit or deny access, using sensors and machine learning models to assess user activities and intent, and integrating this information with access control readers to refine access control decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If access control systems rely solely on access credentials, then the operation is simple and fast, but security is compromised when credentials are valid but circumstances are inappropriate
Solution Approach 1:
The system performs preliminary assessment of contextual information (user activity, location, time) before granting access, even when credentials are valid. This preliminary check prevents inappropriate access by evaluating whether the current context matches expected access scenarios, thereby improving security without requiring complete system redesign.
Solution Approach 2:
Contextual information acts as an intermediary layer between credentials and access decision. The system introduces additional data points (user activity from sensors, location data, time of day) that mediate the access control decision, allowing valid credentials to be rejected when context is inappropriate while maintaining simple credential validation as the base layer.
2Reliability
If contextual information is collected and processed, then access control security is improved, but the time required for access decisions increases
Solution Approach 1:
The system implements partial contextual verification by focusing on the most critical context factors (such as user activity state or location) rather than processing all possible contextual data. This selective approach provides sufficient security improvement while minimizing the time penalty, as not all contextual parameters need to be evaluated for every access attempt.
3Measurement precision
If contextual information is transmitted to access control device, then access control accuracy is improved, but data privacy and communication overhead increase
Solution Approach 1:
The system extracts and transmits only the essential contextual information needed for access control decisions (such as user activity state or basic location data) rather than transmitting all available contextual data. This extraction approach maintains access control accuracy by including necessary context while minimizing privacy intrusion and communication overhead by excluding unnecessary information.
Data Source
AI summary
In one example, a method for context-tagging access credentials for physical access control includes receiving, by an access control device associated with a locking device for a controlled area and from a computing device, an access request including one or more access credentials and contextual information indicating one or more activities being performed by a user of the computing device, and determining, by the access control device, whether the contextual information satisfies one or more contextual conditions. The method may further include determining, by the access control device, whether the one or more access credentials are valid, and, responsive to determining that the one or more access credentials are valid and responsive to determining that the contextual information satisfies the one or more contextual conditions, changing, by the access control device, a state of the locking device.