Automatic Malware Detection Using Deep Learning Based on Static Analysis

• 作者: Baosheng Wang Liu Liu
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: ENSEMBLE learning K-MEANS NEGATIVE CORRELATION NEURAL network
• 年，卷（期）: 2017,（1）
• 页码范围: 126-128
• 页数: 3页
• 分类号: C5

摘要

Malware detection is an important challenge in the field of information security.The paper proposes a novel method using deep learning based on static analysis.Deep learning has stronger nonlinear expression ability than shallow learning,so it has received much attention from scholar and manufacturers.We use static analysis to extract the malware features are mapped into the input of deep learning.The experiments show that the method is suitable for detecting malware.