Malicious URL Detection Algorithm Based on Multi Neural Network Series
نویسندگان
چکیده
Convolutional neural network based on attention mechanism and a bidirectional independent recurrent tandem joint algorithm (CATIR) are proposed. In natural language processing related technologies, word vector features extracted URLs, the URL information host merged. The proposed CATIR uses CNN (Convolutional Neural Network) to obtain deep local in data, Attention adjust weights, IndRNN (Independent Recurrent global data. experimental results shows that has significantly improved accuracy of malicious detection traditional algorithms 96.9%.
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ژورنال
عنوان ژورنال: Converter
سال: 2021
ISSN: ['0010-8189']
DOI: https://doi.org/10.17762/converter.209