An improved vulnerability exploitation prediction model with novel cost function and custom trained word vector embedding

Cost functions; Forecasting; Large dataset; Multilayer neural networks; Network layers; Network security; Open source software; Software reliability; National vulnerability database; Over fitting problem; Performance metrics; Prediction model; Recent researches; Resampling technique; System software...

詳細記述

保存先:
書誌詳細
主要な著者: Hoque M.S., Jamil N., Amin N., Lam K.-Y.
その他の著者: 57220806665
フォーマット: 論文
出版事項: MDPI AG 2023
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
その他の書誌記述
要約:Cost functions; Forecasting; Large dataset; Multilayer neural networks; Network layers; Network security; Open source software; Software reliability; National vulnerability database; Over fitting problem; Performance metrics; Prediction model; Recent researches; Resampling technique; System softwares; Unique identifiers; Predictive analytics; algorithm; computer security; machine learning; reproducibility; Algorithms; Computer Security; Machine Learning; Neural Networks, Computer; Reproducibility of Results