Research on host malcode detection using machine learning

Main trends of host malcode detection using machine learning were focused on,and two categories of detection models(namely static analysis and dynamic analysis) were well discussed.Moreover,the critical stages such as malcode samples collection,feature extraction and selection,the construction of ma...

Full description

Saved in:
Bibliographic Details
Published in网络与信息安全学报 Vol. 3; no. 7; pp. 25 - 32
Main Author Dong ZHANG,Yao ZHANG,Gang LIU,Gui-xiang SONG
Format Journal Article
LanguageEnglish
Published POSTS&TELECOM PRESS Co., LTD 01.07.2017
Subjects
classification model
dynamic analysis
machine learning
malcode detection
static analysis
Online AccessGet full text

Cover

More Information
Summary:Main trends of host malcode detection using machine learning were focused on,and two categories of detection models(namely static analysis and dynamic analysis) were well discussed.Moreover,the critical stages such as malcode samples collection,feature extraction and selection,the construction of machine learning classifiers were considered fully.At last,some future work and challenges in this field were listed.The work can serve as a practical reference for establishing next-generation malcode detection techniques.
ISSN:2096-109X
DOI:10.11959/j.issn.2096-109x.2017.00179