- 期刊
A New Malware Detection Model using Emerging Machine Learning Algorithms
摘要
Machine learning is a set of procedures that make the computer capable to learn without being expressly programmed. In other words, the machine-learning algorithm detects and validates the principles that support the information. With this information, the algorithm can 'consult' the properties of previously unrecognized samples. At the detection of malware, a previously unrecognized sample may be a new file to the program. Its subtle assets can be malware or benign. The set of customized terms in terms of data is called a model. Machine learning has many broad approaches that are needed in solving one approach. These methods have different capabilities and different appropriate functions. In this work, we have used advanced machine learning algorithms and use the most accurate algorithm in the proposed model to detect a file is malware or not.
延伸閱讀
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