An Approach Based on the Improved SVM Algorithm for Identifying Malware in Network Traffic
Due to the growth and popularity of the internet, cyber security remains, and will continue, to be an important issue. There are many network traffic classification methods or malware identification approaches that have been proposed to solve this problem. However, the existing methods are not well...
Main Authors: | Bo Liu, Jinfu Chen, Songling Qin, Zufa Zhang, Yisong Liu, Lingling Zhao, Jingyi Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
|
Series: | Security and Communication Networks |
Online Access: | http://dx.doi.org/10.1155/2021/5518909 |
Similar Items
-
Malware Collusion Attack against SVM: Issues and Countermeasures
by: Hongyi Chen, et al.
Published: (2018-09-01) -
An Android Malware Detection Model Based on DT-SVM
by: Min Yang, et al.
Published: (2020-01-01) -
Malware Detection Based on API Call Usage Using SVM
by: Yu-Chen Tseng, et al.
Published: (2012) -
Android Malware application detection and intercepts based on SVM
by: Zhi-Feng Feng, et al.
Published: (2017) -
Mobile Malware Network Packet Detection System based on SVM
by: TAN, GENG-LUN, et al.
Published: (2017)