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The method combines big data analysis with software security technologies such as feature extraction, machine learning, binary instrumentation and dynamic ...
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Feb 9, 2017 · The method combines big data analysis with software security technologies such as feature extraction, machine learning, binary instrumentation ...
The method combines big data analysis with software security technologies such as feature extraction, machine learning, binary instrumentation and dynamic ...
The method combines big data analysis with software security technologies such as feature extraction, machine learning, binary instrumentation and dynamic ...
Malware Algorithm Classification Method Based on Big Data Analysis · 1 Training Naive Bayes is a conditional probability model. · 2 Classification The constant ...
Big data and ensemble learning based solution is proposed for malware detection. · Weights are assigned to the base classifiers using ranking algorithms and ...
Dec 10, 2021 · This article explores two different methods of Malware Classification. The first method uses a Machine Learning approach, where the dataset ...
Nov 3, 2022 · When trying to identify malicious code, researchers use a variety of big data tools and machine learning techniques. Traditional machine ...
Hence, this study aims to determine the most effective machine-learning algorithm for malware detection and classification. XGBoost, LightGBM, and Logistic ...
Apr 21, 2022 · Most malware classification algorithms employ feature vectors, which indicate harmful traits [15]. This research will classify both existing ...