Homomorphic Encryption Segmentation for Secure Multi-Cloud File Access
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Solution Overview
Problem
Existing multi-cloud environments face security vulnerabilities due to two-factor encryption systems where loss or compromise of a personal security key can lead to easy decryption of data, and leakage resilient encryption fails to adequately protect against unauthorized access.
Innovation Solution
A computing platform trains a homomorphic encryption model using smart contracts and AI to encrypt files, identify display parameters, and manage secure data access, leveraging a distributed ledger for token storage, ensuring data confidentiality and integrity through complex homomorphic operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If two-factor encryption with personal security keys is used, then data confidentiality is improved, but security vulnerability increases when keys are compromised
Solution Approach 1:
The encryption system is segmented into multiple independent components: homomorphic encryption layer, AI model layer, and smart contract layer. Each layer operates independently, so compromise of one does not automatically compromise the entire system. The personal security key is further segmented into multiple shares distributed across different cloud storage locations.
Solution Approach 2:
An AI model acts as an intermediary between the encrypted data and the decryption process. The AI model processes encrypted data and generates decryption keys only when specific conditions are met (verified by smart contracts), preventing direct access to decryption capabilities even if attackers obtain some system components.
2Reliability
If leakage resilient encryption is used, then security against key compromise is improved, but ease of operation deteriorates due to complex key management
Solution Approach 1:
The system performs self-service through automated AI model processing and smart contract execution. When data needs to be accessed, the system automatically verifies authentication credentials through smart contracts and generates decryption keys through AI model processing without requiring manual key management intervention from users.
Solution Approach 2:
The AI model serves multiple functions: it processes encrypted data, verifies authentication conditions through smart contracts, and generates decryption keys. This multi-functionality consolidates what would otherwise require separate complex key management operations into a single unified process.
3Reliability
If homomorphic encryption is implemented, then data security is improved, but processing complexity increases
Solution Approach 1:
The homomorphic encryption processing is segmented and distributed across multiple cloud computing resources. Different portions of encrypted data are processed by different computing nodes, and results are aggregated. This divides the complex processing task into manageable segments that can be executed in parallel.
Solution Approach 2:
The AI model acts as an intermediary that simplifies homomorphic encryption operations. Instead of requiring end systems to directly implement complex homomorphic encryption algorithms, the AI model receives encrypted data, performs the necessary homomorphic operations, and returns results, abstracting away the processing complexity from users and legacy systems.
Data Source
AI summary
A computing platform may train, using smart contract and file type information, a homomorphic encryption model, which may configure the homomorphic encryption model to identify, for a given input file, a corresponding smart contract defining a corresponding set of parameters, included in the given input file, for display. The computing platform may receive an unencrypted file, and may identify, by inputting the unencrypted file into the homomorphic encryption model, a smart contract defining one or more parameters for display. The computing platform may encrypt, using homomorphic encryption, the unencrypted file to produce an encrypted file, and may store the encrypted file. The computing platform may receive, via an application programming interface (API) at a user device, a request to access the encrypted file. The computing platform may send, based on the smart contract and for display at the user device via the API, the parameters for display.