Application of Deep Learning in Software Security Detection
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DOI: 10.25236/iccse.18.089
Author(s)
Lin Li, Ying Ding, Jiacheng Mao
Corresponding Author
Lin Li
Abstract
Machine learning is knowledge of learning rules from data through computational models and algorithms. It has been applied in various fields that require mining rules from complex data, and has become one of the most core technologies in the field of artificial intelligence in the broad sense. In recent years, a variety of deep neural networks have made remarkable achievements in a large number of machine learning problems, forming a new branch of machine learning, deep learning, and also raising a new climax of machine learning theory, method and application research. Software security is a highly concerned issue at present. Vulnerability detection technology is an important measure to improve software security. In order to make software application more secure, it is necessary to discuss the application of deep learning in software security detection.
Keywords
Deep Learning, Software Security, Detection, RNN