Remote Checksum Processing for Network Content Detection
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Solution Overview
Problem
Existing content detection systems in computer networks are vulnerable to virus attacks and inappropriate content due to the need for constant updates of virus signatures, blocked URL lists, and spammer lists, which consume significant resources and degrade system performance.
Innovation Solution
A content detection system that offloads the processing of checksum values from a receiving station to a separate processing station, allowing for real-time updates and reduced resource consumption on the receiving station, enabling efficient detection of malicious content without the need for local content detection data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content detection software is installed on local computers to detect viruses and inappropriate content, then detection capability is improved, but system resources are consumed and performance is degraded
Solution Approach 1:
The patent extracts the content detection function from the local receiving station and relocates it to a remote processing station. The receiving station only needs to send electronic data to the processing station, which performs the actual detection using virus signatures, blocked URL lists, and spammer lists. This extraction eliminates the resource consumption and performance degradation on local computers while maintaining detection capability through the remote station.
2Measurement precision
If virus signatures, blocked URL lists, and spammer lists are constantly updated on local computers, then detection accuracy is improved, but resource consumption and update time are increased
Solution Approach 1:
The patent introduces a processing station as an intermediary between the content sources and the receiving stations. This processing station maintains the virus signatures, blocked URL lists, and spammer lists, and distributes updates to multiple receiving stations simultaneously. The intermediary approach allows detection accuracy to be maintained across all stations while significantly reducing the update time and resource consumption for each individual station.
3Speed
If content detection data is stored locally on receiving stations, then detection speed is improved, but device complexity and storage requirements are increased
Solution Approach 1:
The processing station serves multiple receiving stations simultaneously, providing a universal detection service. Instead of each receiving station maintaining its own complete set of detection data, the single processing station stores and provides virus signatures, blocked URL lists, and spammer lists to all connected receiving stations. This multi-functional approach reduces overall storage requirements and device complexity while maintaining detection speed through efficient data distribution.
Data Source
AI summary
A method of detecting a content desired to be detected includes receiving electronic data at a first host, determining a checksum value using the received electronic data, sending the checksum value to a processing station, the processing station being a second host that is different from the first host, and receiving a result from the processing station, the result indicating whether the electronic data is associated with a content desired to be detected. A method of detecting a content desired to be detected includes receiving electronic data at a receiving station, and determining whether the received electronic data is associated with a content desired to be detected, wherein the receiving station does not include content detection data for identifying the content desired to be detected.