Selective Data Encryption for Cloud Storage Latency

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Solution Overview

Problem

Existing data security methods in cloud environments are inefficient due to the need for complex encryption and hashing of all data, including public information, which consumes processing power and increases latency, especially when handling large volumes of real-world data containing confidential information.

Innovation Solution

Implementing a local computing environment to identify and selectively secure confidential information within real-world data using specific sanitization routines such as encryption, hashing, or obfuscation, before transmitting it to a cloud environment, thereby reducing processing latency and conserving resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If complex encryption and hashing processes are applied to all data (both confidential and public) before cloud storage, then data security is improved, but processing power consumption and latency increase significantly

Engineering Contradiction:

Improvedata securityVSAvoidprocessing power consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent applies different processing treatments to different portions of data based on their confidentiality characteristics. Confidential information undergoes encryption and hashing processes, while public information is stored without such processing. This selective approach maintains data security for sensitive information while avoiding unnecessary processing power consumption on non-sensitive data.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent segments data into confidential and public portions before storage. By identifying and separating confidential information from public information, the system can apply security measures only where necessary. This segmentation allows the system to maintain security for sensitive data while significantly reducing processing overhead by excluding public data from encryption and hashing operations.

Inventive Principle:

Principle #1Segmentation

2Reliability

If complex encryption and hashing processes are applied to all data before cloud storage, then data security is improved, but processing latency increases

Engineering Contradiction:

Improvedata securityVSAvoidprocessing latency

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent applies security processing only to confidential information portions of data, while public information is processed and stored without encryption or hashing. This localized security approach maintains protection for sensitive data while dramatically reducing overall processing latency by eliminating unnecessary security operations on public data.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent divides data into confidential and public segments, applying different processing pipelines to each. Confidential segments undergo encryption and hashing before cloud storage, while public segments are prepared and stored without these time-consuming operations. This segmentation strategy maintains security for sensitive information while minimizing processing latency for the overall dataset.

Inventive Principle:

Principle #1Segmentation

3Reliability

If all data is encrypted and hashed before cloud storage, then confidentiality protection is improved, but processing efficiency decreases

Engineering Contradiction:

Improveconfidentiality protectionVSAvoidprocessing efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent implements selective security processing where only confidential information portions receive encryption and hashing treatments, while public information is processed and stored without these operations. This approach maintains strong confidentiality protection for sensitive data while preserving processing efficiency for the overall data workload by avoiding redundant security operations.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent segments data into confidential and public portions, applying different processing treatments to each segment. Confidential segments undergo encryption and hashing to ensure protection, while public segments are processed and stored without these time-consuming operations. This segmentation maintains confidentiality protection where needed while significantly improving overall processing efficiency by eliminating unnecessary security processing on public data.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10198591B2Systems, methods, and devices for securing data stored in a cloud environment

Publication Date: 2019.02.05 MASTERCARD INT INC

AI summary

Devices, systems, and methods for performing particularized encryption of confidential information within real-world data files that are subsequently stored within a cloud environment are described. Specific rules/logic are executed in a local computing environment to identify the type(s) and/or magnitude(s) of confidential information contained within each real-world data file. The identified type(s) and/or magnitude(s) of confidential information is thereafter specifically encrypted using various encryption processes. Once encrypted, the data is packaged and stored within a cloud environment without the need for further encryption at either the local computing or cloud environments.