Container Hardware Access Segmentation for Cryptanalysis Protection
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Solution Overview
Problem
Cloud environment containers face challenges in preventing cryptanalysis attacks, as they may gain access to encrypted data objects by repeatedly trying different encryption keys, leading to inefficient resource usage in monitoring for such attacks.
Innovation Solution
Implementing a system that restricts hardware access to containers based on their described hardware requirements, where safe containers are restricted from accessing hardware and thus do not need monitoring for cryptanalysis attacks, while unsafe containers are monitored for potential threats after satisfying predefined conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all containers are monitored for cryptanalysis attacks, then security coverage is improved, but resource consumption increases
Solution Approach 1:
The patent segments containers into two categories: safe containers (those without direct hardware access) and unsafe containers (those with direct hardware access). This segmentation allows the system to apply different monitoring strategies to different container types, monitoring only unsafe containers for cryptanalysis attacks while leaving safe containers unmonitored, thereby reducing overall resource consumption while maintaining security coverage.
2Adaptability or versatility
If direct hardware access is permitted to containers, then container functionality is improved, but vulnerability to cryptanalysis attacks increases
Solution Approach 1:
The patent applies local quality by differentiating hardware access permissions based on specific container requirements. Instead of uniformly restricting or allowing hardware access to all containers, the system permits direct hardware access only to containers that have been identified as unsafe and require monitoring, while restricting hardware access from safe containers. This localized approach maintains functionality for containers that need hardware access while minimizing vulnerability.
Data Source
AI summary
Containers can be managed for cryptanalysis attack protection. For example, a computing system can receive, from a container, a description specifying a first hardware requirement for the container. The computing system can restrict access to hardware based on the first hardware requirement for the container. The computing system can perform, for a data object requested by the container, an encryption operation and a decryption operation using the hardware. A result of the encryption operation can be inaccessible to the container prior to the decryption operation.