Environmental Risk-Based Data Access for Sensitive Data Protection
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Solution Overview
Problem
Existing data access management systems are vulnerable to malicious parties gaining access to sensitive data through compromised user credentials or physical presence in the environment, leading to potential data breaches.
Innovation Solution
Implementing a security registration process with cryptographic key pairs for user-device combinations and environmental monitoring using trained inference models to analyze environmental data, ensuring secure access by validating users, devices, and environments before data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional access control measures are implemented to protect sensitive data, then basic security is improved, but the system remains vulnerable to compromised credentials and physical access threats
Solution Approach 1:
The access control system is segmented into multiple independent validation layers: user credential verification, device authentication, and environmental risk assessment. Each layer operates independently to provide comprehensive security, so that compromise of one layer does not lead to complete system failure.
Solution Approach 2:
The system performs preliminary environmental risk assessment and device validation before granting data access. By evaluating the environment and device status in advance, the system prevents unauthorized access attempts rather than reacting to them after occurrence.
2Reliability
If environmental monitoring and validation processes are added to enhance security, then data protection is improved, but system complexity increases
Solution Approach 1:
The environmental monitoring system serves multiple functions simultaneously: it assesses physical security risks, validates device environment, detects potential threats, and provides audit information. This multi-functionality reduces the need for separate dedicated systems for each security concern.
Solution Approach 2:
The system automatically performs environmental risk assessment and access validation without requiring manual security checks. The automated processes evaluate environmental data, assess risks, and make access decisions independently, reducing operational complexity despite enhanced security capabilities.
Data Source
AI summary
Methods and systems for managing access to data stored in data storage systems are disclosed. To prevent malicious parties from gaining access to sensitive data stored in a data storage system, an access control system may be implemented. The access control system may include monitoring of the physical environment and a registration process that assigns cryptographic key pairs to registered combinations of users and devices. When an end device requests sensitive data, the registered user-device combinations may be authenticated using the key pairs generated during registration. To protect sensitive data in the physical environment during access, environmental data (e.g., collected by sensing devices located in the physical environment) may be analyzed using trained inference models that generate predictions regarding the security risk present in environment. Provided the physical environment is secure, the sensitive data may be made accessible to the registered user.