Cloud Data Block Tracing via Virtual Machine Interception
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Solution Overview
Problem
Cloud computing systems face security risks due to potential exposure of data to unlawful monitoring and theft, as they lack effective mechanisms for tracking data block operations within the network.
Innovation Solution
Implementing a system where virtual machines emulate independent computer apparatuses, intercepting data block operations, and embedding trace information within the data blocks for forensic analysis, allowing for the tracking of operations across the cloud network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud computing systems store files remotely on cloud servers, then accessibility and scalability are improved, but security risks and data exposure to unlawful monitoring increase
Solution Approach 1:
The system performs preliminary actions by embedding trace information into data blocks before any potential security breach occurs. The tracing mechanism is pre-configured to automatically track, log, and monitor data block operations, creating a forensic record before unlawful monitoring or theft can happen. This proactive approach enables early detection and investigation of security incidents.
2Reliability
If data block operations are tracked and trace information is embedded, then security and accountability are improved, but device complexity and system overhead increase
Solution Approach 1:
The trace information is nested within the data blocks themselves, with trace records embedded as attributes of the data blocks. This nesting approach allows the tracing mechanism to operate within the existing storage structure without requiring separate complex tracking systems. The trace information is contained within the data blocks, creating a compact and integrated solution that minimizes additional complexity.
3Reliability
If trace information is embedded in data blocks for forensic analysis, then accountability and security are improved, but data processing time and storage requirements increase
Solution Approach 1:
The trace information and data blocks are merged into a single integrated structure where trace records are embedded as attributes within the data blocks themselves. This merging eliminates the need for separate tracking mechanisms and reduces the amount of data that needs to be processed and stored. The combined structure allows for efficient retrieval and analysis of both data and trace information simultaneously.
Data Source
AI summary
An apparatus and related method to track data block operations in a cloud system are provided. Attributes associated with the data block operation may be attached to each individual data block targeted by the data block operation.