Partial Data Encryption for IoT Sensor Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing methods for managing data from sensors in IoT environments are inefficient and costly due to the time and resources required for encrypting and decrypting large amounts of data, while also posing risks to privacy due to the handling of personal information.
Innovation Solution
A method and apparatus for managing data that encrypts only specific parts of the information collected by sensors or intermediate network devices, allowing for secure transmission and analysis without decrypting the data, using a data management system that includes a data receiving unit, storage unit, and analysis performing unit capable of analyzing encrypted data without decryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is encrypted to improve security, then data security is improved, but time and cost for encryption and decryption increase
Solution Approach 1:
The patent segments data into encrypted and non-encrypted portions, allowing only necessary parts to be decrypted for analysis while maintaining security for sensitive information. This reduces the amount of data requiring decryption operations.
Solution Approach 2:
Different portions of data are treated differently - some parts are encrypted while others remain non-encrypted. This local differentiation allows analysis of non-sensitive data without decryption while maintaining security encryption where needed.
2Reliability
If all data is encrypted for security, then data security is improved, but processing and analysis time increases
Solution Approach 1:
The patent divides data into segments that require encryption and segments that do not, enabling faster processing of non-encrypted portions while maintaining security for encrypted portions.
Solution Approach 2:
The patent applies encryption selectively to specific data portions rather than uniformly encrypting all data, improving overall processing efficiency while maintaining necessary security levels.
3Measurement precision
If data is decrypted for analysis, then analysis accuracy is improved, but data security risk increases
Solution Approach 1:
The patent segments data into encrypted and non-encrypted parts, allowing analysis of non-sensitive portions without decryption while maintaining security for sensitive information that could cause harm if leaked.
Solution Approach 2:
Different security treatments are applied to different data portions based on their sensitivity, allowing accurate analysis of non-sensitive data while protecting sensitive data from potential leakage risks.
4Reliability
If encryption is applied to protect personal information, then privacy protection is improved, but processing cost increases
Solution Approach 1:
The patent segments personal information into encrypted and non-encrypted portions, reducing the computational cost of encryption operations while maintaining privacy protection for sensitive information.
Solution Approach 2:
Encryption is applied locally only to sensitive personal information portions rather than uniformly to all data, reducing overall processing costs while maintaining necessary privacy protection.
Data Source
AI summary
A method for managing data, comprising: receiving data about information collected by a sensor, in which at least a part of the data is encrypted; and performing an analysis in a state where both non-encrypted section and encrypted section of the data are not decrypted.Also, a method for managing data encryption, comprising: allowing a sensor or an intermediate network device to encrypt at least a part of data about collected information; allowing the sensor or the intermediate network device to transmit the at least partially encrypted data; allowing a data management apparatus to receive the at least partially encrypted transmitted data; allowing the data management apparatus to store the at least partially encrypted received data; and allowing the data management apparatus to perform an analysis in a state where both non-encrypted section and encrypted section of the at least partially encrypted data are not decrypted.