Distribution of data in clusters of devices
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Solution Overview
Problem
Existing systems face challenges in securely synchronizing data across clusters of devices, which can lead to unauthorized access and compromise of sensitive data, as well as impaired cluster operation due to unsynchronized or malicious data integration.
Innovation Solution
Implementing a security model that uses nearfield communication links for synchronized data updates, encryption, authentication, and integrity verification to distribute delta updates within device clusters, ensuring secure and synchronized data distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional network links are used to distribute data updates across device clusters, then data distribution speed and coverage are improved, but security and risk of unauthorized access deteriorate
Solution Approach 1:
The patent segments data distribution into two distinct channels: (1) synchronized data updates are distributed exclusively through nearfield communication links between devices within the same cluster, and (2) unsynchronized data may use conventional network links. This segmentation allows secure distribution of critical synchronized data while maintaining the ability to distribute other data types through traditional channels.
Solution Approach 2:
The patent introduces nearfield communication as an intermediary transmission medium between devices in the cluster. This intermediary layer provides inherent security through its limited transmission range and physical proximity requirement, acting as a mediator that prevents unauthorized external access while maintaining internal cluster synchronization.
2Quantity of substance
If conventional network links are used for data synchronization, then data distribution coverage is improved, but data integrity and security deteriorate
Solution Approach 1:
The patent segments data into synchronized data (distributed via nearfield links) and unsynchronized data (distributed via network links), ensuring that critical synchronized data maintains integrity through secure local transmission while still achieving cluster-wide coverage through the coordinated action of multiple devices.
Solution Approach 2:
The patent changes the transmission parameter from conventional network communication to nearfield communication for synchronized data, fundamentally altering the physical characteristics of data transmission to achieve both security and integrity while maintaining cluster-wide coverage through device-to-device propagation.
3Ease of operation
If open network communication is used for cluster data sharing, then ease of operation is improved, but security and unauthorized access risk deteriorate
Solution Approach 1:
The patent segments communication protocols by data type, using nearfield communication for synchronized data and allowing conventional network communication for other purposes, thereby maintaining ease of operation for non-critical functions while securing critical data exchanges.
Solution Approach 2:
The patent applies different communication quality characteristics to different data types: nearfield communication provides high security and local transmission for synchronized data, while conventional network links provide broad coverage for unsynchronized data, optimizing the match between communication method and data requirements.
4Stability of the object's composition
If synchronized data is distributed across all cluster devices, then data consistency is improved, but vulnerability to unauthorized access and malicious data integration deteriorates
Solution Approach 1:
The patent segments the data distribution path by restricting synchronized data to nearfield communication channels only, creating a separate secure pathway that maintains data consistency across the cluster while preventing malicious data from entering through conventional network links.
Solution Approach 2:
Nearfield communication serves as an intermediary that enables data consistency across the cluster while inherently blocking malicious data integration through its physical security constraints, acting as a trusted mediator between local devices.
Data Source
AI summary
Methods and systems for managing operation of endpoint devices are disclosed. To manage the operation of endpoint devices, clusters of endpoint devices may be established. The members of the cluster may utilize synchronized data across the cluster to provide various computer implemented services. To synchronize the synchronized data, updates made to local copies of the synchronized data may be distributed to maintain synchronization of other copies of the synchronized data. By doing so, different members of the cluster may have access to synchronized data.