Hardware Malicious Code Detector in Data Processing Pipeline
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for detecting malicious code in computing devices often burden the processor, leading to reduced performance and increased energy consumption, as they either slow down other tasks or require expensive dedicated processors.
Innovation Solution
Implementing a processing pipeline with a hardware-based malicious code detector that operates in parallel with data processing, using hardware components like ASICs or FPGAs, allowing for simultaneous data alteration and malicious code detection without delaying data movement through the pipeline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a processor is burdened with malicious code detection tasks, then detection capability is improved, but device performance and speed are reduced
Solution Approach 1:
The patent segments the detection function by implementing a dedicated malicious code detector as a separate hardware component rather than burdening the main processor. This segmentation allows the detector to operate independently, improving detection capability without compromising overall device performance and speed.
Solution Approach 2:
The patent introduces a dedicated malicious code detector as an intermediary component between the data processing pipeline and the main processor. This intermediary handles the detection tasks separately, preventing detection operations from slowing down the main processing operations while maintaining effective malware detection.
2Reliability
If a dedicated processor is added for malicious code detection, then detection capability is improved, but device complexity and energy consumption increase
Solution Approach 1:
The patent merges the malicious code detection function into the existing network device architecture by implementing the detector as integrated hardware components (ASICs or FPGAs) within the device. This merging approach improves detection capability while avoiding the complexity of adding separate dedicated processors, as the detector becomes part of the device's native hardware infrastructure.
3Reliability
If data scanning for malicious code is performed sequentially, then detection thoroughness is improved, but processing time and productivity are reduced
Solution Approach 1:
The patent transitions from sequential scanning to parallel detection by implementing the malicious code detector as a hardware component that operates simultaneously with data processing. This dimensional change from sequential to parallel operation maintains detection thoroughness while significantly improving data processing throughput and productivity.
Solution Approach 2:
The patent ensures continuous detection operation by implementing the malicious code detector as a hardware component that continuously scans data in real-time without interrupting the data processing pipeline. This continuous detection action maintains thoroughness while preventing productivity loss that would occur with sequential scanning interruptions.
Data Source
AI summary
A device includes a pipeline and a detector that are both implemented at least in hardware. Data is moved through the pipeline to perform processing of the data unrelated to detection of malicious code. The detector detects the malicious code within the data as the data is moved through the pipeline, in parallel with the processing of the data as the data is moved through the pipeline. The detector detects the malicious code within the data as the data is moved through the pipeline without delaying movement of the data into, through, and out of the pipeline.