Phishing website detection method and system based on adaptive heterogeneous multi-classification model
A phishing website, multi-classification technology, applied in transmission systems, character and pattern recognition, instruments, etc., can solve the problems of poor timeliness of detection methods, incomplete feature coverage, and unsatisfactory detection technology robustness and generalization performance. , to achieve the effect of improving accuracy and stability, high availability and stability, and superior generalization performance
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0060] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings and embodiments. The examples are only used to explain the present invention, not to limit the scope of the present invention.
[0061] like figure 1 As shown, the present invention provides a phishing website detection method based on an adaptive heterogeneous multi-classification model (AHMC), which includes the learning of the adaptive heterogeneous multi-classification model and the detection of phishing websites. step.
[0062] Step 1, select a phishing website of the same type, for example, a counterfeit phishing website of the same type as a bank, as a sample set D, |D|=n, where n represents the number of samples in D. The samples were classified into training and test sets using leave-one-out cross-validation.
[0063] The jth training sample set is: D j ={(x 1 ,y 1 ),(x 2 ,y 2 ),…,(x m ,y m )}(1≤j≤n, 1
[0064] The corr...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap