Download Link Security Detection via Feature Matching
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Solution Overview
Problem
Current anti-virus software requires complete data download for real-time monitoring, leading to wasted user time and network bandwidth usage, as it compares downloaded data with virus databases, often after malicious programs have already been downloaded.
Innovation Solution
A method and system for detecting download link security by pre-acquiring an information set, performing feature matching between the download link information and the content set, and presenting identification results to users, allowing for secure link identification before download initiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring is performed by downloading complete data for virus detection, then detection accuracy is improved, but network bandwidth consumption increases and user time is wasted
Solution Approach 1:
The patent performs preliminary security detection on download links before the actual download process. By pre-acquiring link information, performing feature matching with security databases, and identifying security status in advance, the system determines whether to proceed with download, thereby avoiding wasteful bandwidth consumption on malicious links while maintaining detection accuracy.
Solution Approach 2:
The patent extracts only the essential link information (URL, metadata) for security detection rather than downloading the complete data file. This extraction approach enables virus detection through feature matching without consuming full network bandwidth, resolving the contradiction between detection accuracy and resource consumption.
2Reliability
If complete data is downloaded before detection, then virus detection can be performed, but user time is wasted downloading malicious content
Solution Approach 1:
The system performs preliminary security assessment of download links before initiating the download process. By pre-acquiring link information, performing feature matching with security databases, and identifying malicious links in advance, the system prevents users from wasting time downloading harmful content while maintaining the capability to detect viruses through the feature matching mechanism.
3Reliability
If feature matching is performed on downloaded data, then security detection is achieved, but network resources are occupied uselessly for large files
Solution Approach 1:
The patent extracts only the necessary link information (URL, metadata, headers) for security detection purposes rather than requiring the complete data file. This extraction enables feature matching and security detection to be performed with minimal network resource consumption, resolving the contradiction between detection reliability and bandwidth usage.
Solution Approach 2:
By performing feature matching on extracted link information before complete data download, the system achieves security detection with minimal network resource occupation. The preliminary action of extracting and analyzing link metadata prevents wasteful consumption of bandwidth on large malicious files while maintaining detection capability.
Data Source
AI summary
A method, a device and a system for detecting security of a download link are provided. The method comprises: pre-acquiring an information set of download link security (S101); performing a feature matching between information of a download link and content of the information set of download link security (S102); and identifying security of the download link according to a result of the feature matching, and presenting an identification result to a user (S103). In the method, device and system, statistics regarding security of download links in a network are collected in advance to generate an information set, whether a download link in a webpage is secure is determined according to the preset information set, and a corresponding prompt is provided to a user, so that the user can know the security of the download link before downloading, thereby reducing ineffective download behaviors and the consumption of network bandwidth resources.