Mobile Media Encryption Based on Privacy Characteristics
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Solution Overview
Problem
Current smartphone operating systems automatically synchronize all media to cloud storage, leading to privacy issues due to inadequate security measures, as cloud account passwords often rely on traditional alpha-numeric passwords, which are less secure than on-device biometrics, and users face challenges in manually selecting or encrypting sensitive content for backup.
Innovation Solution
Implementing automated encryption or obfuscation of media files on the user's device based on detected privacy-sensitive characteristics, such as facial recognition or geographic attributes, before synchronizing them with cloud storage, using algorithms to identify sensitive content and applying user-defined encryption or exclusion policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated encryption or obfuscation is implemented based on detected privacy-sensitive characteristics, then privacy protection is enhanced, but device complexity increases
Solution Approach 1:
The system performs preliminary characterization of media files to detect privacy-sensitive characteristics before synchronization occurs. By identifying sensitive content in advance and applying encryption or obfuscation beforehand, the system enhances privacy protection without requiring complex real-time processing during synchronization.
Solution Approach 2:
The system segments the media library by characterizing individual files and identifying those with privacy-sensitive characteristics. This segmentation allows selective encryption or obfuscation only for sensitive files, rather than encrypting all media, thereby reducing overall device complexity while maintaining strong privacy protection for sensitive content.
2Reliability
If all media is synchronized to cloud storage, then backup reliability is improved, but security risk increases due to inadequate cloud security measures
Solution Approach 1:
The system applies different security treatments to different media files based on their privacy sensitivity. Sensitive files receive encryption or obfuscation while non-sensitive files are synchronized normally. This local differentiation maintains backup reliability for all files while reducing security risks by protecting only the sensitive portion.
Solution Approach 2:
The system applies preliminary encryption or obfuscation to sensitive media files before they are synchronized to cloud storage. This preliminary protective action counteracts potential security risks in the cloud environment, ensuring that even if cloud security is compromised, the sensitive data remains protected.
3Reliability
If manual selection or encryption of sensitive content is required, then security control is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically characterizes media files, detects privacy-sensitive characteristics, and applies appropriate encryption or obfuscation without requiring user intervention. This self-service approach maintains strong security control while eliminating the operational burden of manual selection and encryption.
Solution Approach 2:
The system provides feedback to users about which files are identified as privacy-sensitive and what security measures are applied. This feedback mechanism maintains security control by keeping users informed while improving ease of operation by automating the entire process and eliminating manual selection requirements.
Data Source
AI summary
One embodiment provides a method, including: accessing, on a mobile end user device, a media file; processing, using a processor of the mobile end user device, the media file to characterize the media file; detecting, using the processor, at least one privacy-sensitive characteristic of the media file; and setting an indicator, using the processor, denoting the media file as privacy-sensitive prior to permitting the media file to be stored on a cloud account device. Other embodiments are described and claimed.