Malware Detection Based on Static and Dynamic Features Analysis

Budong Xu; Yongqin Li; Xiaomei Yu

doi:10.1007/978-3-030-62223-7_10

ScienceGate Book Chapters

BOOK-CHAPTER

Malware Detection Based on Static and Dynamic Features Analysis

Budong Xu Yongqin Li Xiaomei Yu

Year: 2020 Lecture notes in computer science Pages: 111-124 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-62223-7_10

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Malware Static analysis Malware analysis Process (computing) Machine learning Artificial intelligence Data mining Computer security Operating system

Metrics

Cited By

1.46

FWCI (Field Weighted Citation Impact)

Refs

0.83

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Malware Detection Based on Static and Dynamic Features Analysis

Metrics

Citation History

Topics

Related Documents

Image-based Android Malware Detection Models using Static and Dynamic Features

Windows malware detection based on static analysis with multiple features

Windows malware detection based on static analysis with multiple features

Windows malware detection based on static analysis with multiple features

Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features