M2M Data Storage Using Fake Data to Hide Usage Trends
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Solution Overview
Problem
Existing M2M systems face challenges in protecting data from misuse, preventing personal information exposure, and concealing user behaviors from hackers.
Innovation Solution
A method and apparatus that involves generating and storing fake data of the same type as real data within a resource, allowing access-controlled users to see only the real data while others are presented with fake data, thereby masking data trends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real data is stored in M2M system, then data utility is improved, but data security deteriorates
Solution Approach 1:
The patent segments data storage by creating separate storage locations for real data and fake data within the M2M system. Real data is stored in a protected manner while fake data is stored separately, allowing the system to provide different data views to different users. This segmentation enables both data utility (real data accessible to authorized users) and data security (real data protected from unauthorized access).
Solution Approach 2:
The patent introduces fake data as an intermediary element that mediates between data utility and data security. Fake data serves as a decoy that protects real data by misleading unauthorized users. The system uses this intermediary to satisfy the contradiction by providing useful data to authorized users while protecting real data from unauthorized access through the presence of fake data.
2Object-affected harmful factors
If data is protected by access control, then data security is improved, but data accessibility deteriorates
Solution Approach 1:
The patent creates fake data copies that mimic the structure and format of real data. These copies are stored alongside or alongside real data and can be accessed by users who don't have authorization for the real data. This copying approach maintains data accessibility for legitimate users while protecting security by providing alternative data that appears authentic but is actually fake.
3Object-affected harmful factors
If fake data is mixed with real data, then data security is improved, but data quality deteriorates
Solution Approach 1:
The patent applies local quality by ensuring that fake data and real data maintain their distinct identities while coexisting in the same system. The fake data has specific characteristics that differentiate it from real data, allowing the system to maintain overall data quality. Authorized users can distinguish and access only real data, while the presence of fake data with different local characteristics enhances security without compromising the quality of real data.
Data Source
AI summary
The present disclosure relates to hiding data trends in a machine-to-machine (M2M) system. A method for operating a first device in a machine-to-machine (M2M) system may include: performing a registration procedure for a second device; receiving real data generated by the second device; obtaining fake data of an identical type as the real data; and storing the real data and the fake data in a same resource.


