Context-Aware Onlooker Detection for Secure Content Displays
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Solution Overview
Problem
The transition from x86 to ARM-based processors in Information Handling Systems (IHSs) has created challenges in managing, customizing, optimizing, and configuring IHSs, particularly in identifying and mitigating onlookers who may view sensitive content displayed by these systems.
Innovation Solution
Utilizing a heterogeneous computing platform with components like SoC, FPGA, or ASIC, and an orchestrator such as a sensing hub or BMC to generate recognition profiles, identify authorized onlookers, and initiate mitigation procedures when necessary, based on context and proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If onlooker detection and mitigation procedures are continuously activated, then security against unauthorized viewing is improved, but user experience and convenience deteriorate due to false positives and unnecessary restrictions
Solution Approach 1:
The system performs preliminary actions by capturing images of individuals in proximity to the display before activating mitigation procedures. The recognition profile is generated in advance based on authorized users' characteristics. When an individual is detected, the system compares their features against the pre-generated profile to determine authorization status before applying any restrictions, thereby avoiding false positives and improving user experience while maintaining security.
2Reliability
If mitigation procedures are applied to all detected onlookers, then security coverage is improved, but system complexity and computational overhead increase
Solution Approach 1:
The system applies local quality by differentiating between authorized and unauthorized individuals through context-specific recognition profiles. Instead of applying uniform mitigation to all detected persons, the system evaluates each individual's characteristics against the specific profile generated for that context (e.g., location, time, event type). This localized approach maintains high security coverage while reducing unnecessary computational overhead by avoiding mitigation procedures for authorized users.
3Measurement precision
If context-specific recognition profiles are generated for each user, then accuracy of onlooker identification is improved, but processing time and computational resources increase
Solution Approach 1:
The system generates context-specific recognition profiles in advance based on authorized users' characteristics, locations, and event contexts. These profiles are prepared beforehand and stored for rapid comparison. When an individual is detected, the system quickly compares their features against the pre-generated profile rather than performing complex real-time analysis, thereby achieving high identification accuracy while minimizing processing time.
4Difficulty of detecting and measuring
If the system continuously monitors and detects individuals in proximity, then detection capability is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic action by capturing images of individuals in proximity at specific intervals rather than continuously monitoring. The camera captures images periodically to identify individuals who enter the monitored area, and only then initiates the recognition process. This periodic approach maintains effective detection capability while significantly reducing energy consumption compared to continuous monitoring and processing.
Data Source
AI summary
Systems and methods are provided for configuring onlooker mitigation procedures utilized to protect content displayed by an IHS (Information Handling System). In response to a request from a user of the IHS to authorize an onlooker in proximity to the IHS, a recognition profile is generated for the authorized onlooker and context information is collected that characterizes the IHS operations at the time the authorization request is received from the user. At a later time, resources of a heterogeneous computing platform of the IHS are used to identify an individual in proximity to the IHS and to determined the current context of IHS operations. When the current context matches the context of IHS operations at the time the authorization request is received, the recognition profile is used to determine whether the individual in proximity to the IHS is the authorized onlooker, and thus whether to initiate onlooker mitigation procedures.