Distributed Sensitive Data Storage via Segmented Transmission
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Solution Overview
Problem
Conventional systems for entering, transmitting, and storing sensitive data are vulnerable to security attacks, including man-in-the-middle attacks and decryption threats due to centralized storage and transmission methods.
Innovation Solution
Implementing a distributed architecture that uses multiple contact methods with distinct communication protocols to enter, receive, and store sensitive data, breaking it into portions and storing each portion separately to prevent single-point failures and decryption risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensitive data is transmitted electronically over conventional networks, then data transmission efficiency is improved, but security vulnerability increases due to man-in-the-middle attacks
Solution Approach 1:
The patent segments sensitive data into multiple separate portions and transmits each portion through different communication channels and contact methods. This segmentation prevents attackers from intercepting complete sensitive data through man-in-the-middle attacks, as each channel carries only a fragment of the overall information.
Solution Approach 2:
The system introduces an intermediary server that coordinates the collection of data portions from multiple contact methods. The server acts as a mediator that aggregates the segmented data portions without exposing the complete sensitive data during transmission, thereby reducing security vulnerabilities while maintaining transmission efficiency.
2Productivity
If sensitive data is stored in a central location, then data access efficiency is improved, but decryption risk increases due to centralized storage vulnerability
Solution Approach 1:
The patent divides sensitive data into multiple separate portions and stores each portion in different locations or contact methods rather than centralizing all data in one location. This segmentation reduces decryption risk because attackers would need to compromise multiple separate storage locations simultaneously, while the system can still efficiently access complete data by retrieving all portions through the intermediary server.
3Object-affected harmful factors
If multiple contact methods are used to disperse sensitive data, then security is improved, but system complexity increases
Solution Approach 1:
The intermediary server is designed with multi-functionality to handle various contact methods and communication protocols uniformly. It can receive data portions from different sources (email, text messages, phone calls, social media) and aggregate them into complete sensitive data, thereby managing the complexity of multiple contact methods through a single universal interface.
Solution Approach 2:
The intermediary server acts as a mediator that simplifies the system architecture by providing a single coordination point for collecting segmented data from multiple contact methods. This intermediary approach manages the inherent complexity of multi-channel data collection through centralized coordination, making the system more manageable despite using multiple contact methods.
Data Source
AI summary
Embodiments of the present disclosure include systems and methods for securely entering, receiving, and storing sensitive data. A server system may determine if a request received from a user computing device communicatively coupled to the server triggers a requirement to receive sensitive data from the user computing device, generate a data structure for the sensitive data, designate a plurality of contact methods, determine a communication protocol for each of the designated plurality of contact methods, transmit a request for data unit information to the corresponding designated contact methods via the determined communication protocol for each data unit of the data structure, receive from each of the designated contact methods, the data unit information corresponding to the respective single data unit, and generate sensitive data by aggregating the received data unit information received from each of the designated contact methods.