Carter 发表于 2025-3-21 19:50:33
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Bertolt Brecht und Ernst Tollerecutables and malware executables to build and train a classification model that can classify malicious and benign executable efficiently. And the classification results show 99.66% accuracy by using XGBoost classifier to distinguish between malicious and benign executable.下边深陷 发表于 2025-3-22 03:06:13
Conference proceedings 20219) organized by ABES Engineering College, Ghaziabad, India, and held from February 22 to 23, 2019. It includes the latest advances and research findings in fields of computational science and communication such as communication & networking, web & informatics, hardware and software designs, distribu粘 发表于 2025-3-22 05:37:12
https://doi.org/10.1007/978-3-662-69376-6h used is the combination of .-gram technique and a list of short distinctive words. The .-gram model applied is language independent whereas short word method uses less computation. The results show the effectiveness of our approach over the synthetic data.Mumble 发表于 2025-3-22 10:03:38
https://doi.org/10.1007/978-3-662-69376-6rithms, and a variety of fitness functions has been used to confirm the efficiency of the improved algorithm over the older version. The merits with nature-inspired algorithms include distributed computing, reusable components, network processes, mutations and crossovers leading to better results, randomness and stochasticity.Breach 发表于 2025-3-22 15:54:51
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Bertolt Brecht und Ernst Tolleritigate vulnerabilities in order to prevent organizational websites against SQL and XSS loopholes. We have analyzed a dataset of URLs. SQL, XSS, and XML have the highest rate of detection and the least percentage of CSRF.palliative-care 发表于 2025-3-22 22:05:30
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