Virtualized Image Processing Isolation Against Malicious Input Code
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Solution Overview
Problem
Existing image processing systems are vulnerable to malicious attacks where manipulated specimens, such as encoded software in genetic sequences or images, can compromise the system, leading to unauthorized access and data corruption.
Innovation Solution
Implementing a compartmentalized computing architecture with separate virtual machine instances for image processing, combined with encryption and security components to isolate and analyze data, ensuring that unauthorized instructions are prevented from propagating within the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image processing systems are integrated to improve efficiency and processing speed, then productivity increases, but the system becomes more vulnerable to malicious attacks and security breaches
Solution Approach 1:
The patent divides the image processing system into multiple isolated virtual machine instances, each handling specific processing tasks. This segmentation allows the system to maintain high processing efficiency through parallel operations while limiting the spread of malicious attacks to isolated compartments rather than compromising the entire system.
Solution Approach 2:
The patent introduces a security component that acts as an intermediary between virtual machine instances and the host system. This intermediary monitors and controls interactions, enabling efficient data processing while blocking malicious code propagation and unauthorized access attempts.
2Adaptability or versatility
If multiple processing components are added to enhance system functionality, then adaptability improves, but device complexity increases
Solution Approach 1:
The patent creates virtual machine instances that can be dynamically configured to perform different image processing tasks. Each virtual machine instance is a universal processing unit that can handle various algorithms and data types, providing high adaptability without requiring separate specialized hardware for each function.
Solution Approach 2:
The patent implements a dynamic architecture where virtual machine instances can be created, configured, and destroyed as needed. This dynamic allocation allows the system to adapt to different processing requirements while maintaining a manageable core infrastructure through automated resource management.
3Reliability
If data isolation measures are implemented to improve security, then reliability increases, but processing speed may decrease
Solution Approach 1:
The patent segments data processing into isolated virtual machine instances that can operate in parallel without interfering with each other. This segmentation provides strong security isolation while maintaining high processing speeds through concurrent execution of multiple processing streams.
Solution Approach 2:
The patent implements monitoring mechanisms that provide feedback on data flow and processing operations. This feedback system enables the security component to make real-time decisions about data isolation, allowing efficient processing of legitimate data while quickly blocking malicious operations.
Data Source
AI summary
Image processing device security is provided herein. A method can include assembling, by a first system comprising a processor using a first virtual machine enabled via the first system, raw input data captured by an image capture device from an input image, resulting in assembled input data; generating, by the first system using a second virtual machine that is enabled via the first system and distinct from the first virtual machine, an output image from the assembled input data; reading, by the first system in response to the generating, the output image; and preventing, by the first system, a second system, distinct from the first system, from accessing the output image in response to the reading resulting in execution of unauthorized instructions at the first system.