Push-Based Content Detection Update System
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Solution Overview
Problem
Organizations face vulnerabilities to virus attacks and inappropriate content due to delays in updating anti-virus software and spammer lists, as existing content detection systems require manual requests for updates, leading to exposure to new threats until updates are downloaded.
Innovation Solution
A method and system for automatically transmitting content detection data to content detection modules without a request, utilizing a central station, update stations, and content detection modules to ensure real-time updates across a network, allowing for immediate detection of new viruses and spam.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content detection systems use manual update requests, then users have control over update timing, but the systems experience delays in detecting new threats until updates are downloaded
Solution Approach 1:
The system performs preliminary actions by pushing content detection data to content detection modules before threats are actively sought by users. The central station proactively transmits updated virus signatures, spammer lists, and URL blacklists to update stations, which then distribute them to content detection modules across the network, ensuring threats are detected immediately upon emergence.
Solution Approach 2:
The patent inverts the traditional update model by switching from a pull-based system (where clients request updates) to a push-based system (where the server sends updates). The central station initiates transmissions to update stations and content detection modules without waiting for requests, fundamentally reversing the update initiation direction to eliminate delays.
2Productivity
If content detection data is transmitted manually upon user request, then network bandwidth is conserved, but update speed and response time to new threats are reduced
Solution Approach 1:
The system implements dynamic update transmission by adjusting the frequency and timing of data pushes based on threat levels and system state. The central station can transmit updates immediately when new threats are detected, or schedule transmissions during off-peak periods, making the network resource usage flexible rather than static.
Solution Approach 2:
The system enables self-service through automated update distribution where the central station and update stations automatically transmit content detection data to content detection modules without manual intervention. This automation eliminates the need for users to manually request updates while maintaining efficient network resource utilization through intelligent scheduling.
3Ease of operation
If users are responsible for downloading updates, then update distribution is simple, but organizations spend significant resources ensuring all hosts are constantly updated
Solution Approach 1:
The patent introduces update stations as intermediary components between the central station and content detection modules. These intermediaries automatically receive and distribute content detection data across the network, eliminating the need for end users to manually manage updates while reducing organizational resource expenditure through automated, efficient distribution.
Solution Approach 2:
The system implements self-service update distribution where content detection modules automatically receive and install updates without user intervention. The centralized and distributed stations work together to autonomously manage the entire update lifecycle, from generation to deployment, freeing users from manual update management while optimizing resource usage.
4Reliability
If new virus signatures are not made available immediately after discovery, then system stability is maintained, but computers remain vulnerable to new virus attacks
Solution Approach 1:
The system performs preliminary actions by preparing and transmitting content detection data immediately when new threats are discovered. The central station proactively pushes updated virus signatures, spammer lists, and URL blacklists to the network before users encounter new threats, ensuring detection capability is updated in advance rather than waiting for scheduled updates or user requests.
Data Source
AI summary
A method of updating a content detection module includes obtaining content detection data, and transmitting the content detection data to a content detection module, wherein the transmitting is performed not in response to a request from the content detection module. A method of sending content detection data includes obtaining content detection data, selecting an update station from a plurality of update stations, and sending the, content detection data to the selected update station. A method of building a content detection system includes establishing a first communication link between a central station and an update station, the central station configured to transmit content detection data to the update station, and establishing a second communication link between the update station and a content detection module.