Private Social Sensor Network With Irreversible Pairing
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Solution Overview
Problem
There is a need for a secure and private system that allows users to collect, store, and transmit personal data while maintaining control over it, as existing technologies are vulnerable to data exploitation and lack privacy features, leading to issues like identity theft and unauthorized data sharing.
Innovation Solution
A system comprising sensors with unique IDs, paired with communications devices and data stores via secure short-range links, allowing users to manage and share data privately, with irreversible pairing and secure storage options, ensuring data ownership and privacy through unique device certificates and secure data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personal data is shared on social media sites, then users can connect and share experiences, but users lose control and ownership of their data
Solution Approach 1:
The system segments data control by introducing a personal gateway device that acts as an intermediary between sensors and the social network. This gateway segments the data flow, allowing users to maintain ownership while enabling selective sharing through a controlled interface rather than direct upload to social media platforms.
Solution Approach 2:
The personal gateway serves as an intermediary device between the sensor network and external social media platforms. It mediates data transmission by requiring user authentication and authorization for each data sharing action, thus preventing automatic data exploitation while enabling legitimate sharing when users choose to do so.
2Ease of operation
If sensors transmit data over Wi-Fi or internet, then users can monitor and control sensors remotely, but data becomes vulnerable to monitoring and interception
Solution Approach 1:
The system applies preliminary anti-action by implementing local data processing and encryption at the personal gateway before data leaves the private network. Data is encrypted and processed locally, preventing potential interceptors from accessing raw unencrypted data during transmission over Wi-Fi or internet networks.
Solution Approach 2:
The system implements local quality by maintaining a private closed environment for sensor data collection and processing. The personal gateway creates a localized secure zone where data is handled, distinguishing between the secure local environment and the less secure external network environment, thereby protecting data during the transition zones.
3Adaptability or versatility
If existing sensor systems are designed for data transmission, then they can share information widely, but they become bulky and consume large amounts of power
Solution Approach 1:
The system extracts the heavy data transmission and processing functions from the sensor nodes themselves and relocates them to the personal gateway device. Sensors only perform local data collection and basic processing, while the gateway handles complex data management, encryption, and transmission, thereby reducing sensor power consumption and size requirements.
Solution Approach 2:
The system shifts the data transmission dimension from sensor-to-cloud direct communication to sensor-to-gateway-to-cloud multi-hop communication. This dimensional change in the communication architecture allows sensors to use low-power short-range communication while the gateway handles high-power long-range transmission, optimizing overall system energy efficiency.
Data Source
AI summary
The present systems and methods are directed to a private network of personal social sensors. The sensors are irreversibly paired with a communication device which ensures privacy of data. The sensors communicate data via a short range communications link to a communication device that in turn securely transmits the sensor data to a secure data store. A user may share their data with others within their social sensor network.