Hardware Network Traffic Content Detection Device
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Solution Overview
Problem
Current systems for detecting computer and network traffic content, such as viruses and spam, are inefficient due to the need for constant updates of blacklists and high computational resources, leading to vulnerabilities and restrictive access controls.
Innovation Solution
A device with input and output ports for receiving signatures and network traffic data, utilizing a processor to match content using a content pattern recognition language (CPRL) for real-time detection and filtering, allowing for the prevention of undesirable content transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If application-level anti-virus programs are used to provide protection from viruses, then virus detection capability is improved, but computing resources and deployment costs increase enormously
Solution Approach 1:
The patent replaces software-based application-level virus scanning with hardware-based content detection devices that operate at the network level. These devices use dedicated hardware processors and content pattern recognition languages to detect viruses and malicious content in network traffic, eliminating the need for resource-intensive application-level scanning on each host while maintaining or improving detection capability.
2Reliability
If blacklists of banned web sites and spam hosts are maintained to block unwanted content, then content filtering capability is improved, but system complexity and update requirements increase
Solution Approach 1:
The patent transforms the content detection approach from maintaining static blacklists of URLs and hostnames to using dynamic content patterns and signatures that identify malicious content based on its actual characteristics. The content pattern recognition language enables flexible pattern matching that can detect viruses, spam, and inappropriate content without requiring constant updates of blacklist databases, thereby reducing system complexity while maintaining filtering effectiveness.
Data Source
AI summary
A device for detecting network traffic content is provided. The device includes a first input port configured to receive one or more signatures, each of the one or more signatures associated with content desired to be detected, a second input port configured to receive data associated with network traffic content. The device also includes a processor configured to process the one or more signatures and the data to determine whether the network traffic content matches the content desired to be detected, and an output port configured to couple the device to a computer system of an intended recipient of the network traffic content. The output port passes the network traffic content to the computer system when it is determined that the network traffic content does not match the content desired to be detected.