检索结果-南通市图书馆

Using Object Detection Network for Malware Detection and Identification in Network Traffic Packets

Computers, Materials & Continua 2020年第9期64卷 1785-1796页

作者： Chunlai Du Shenghui Liu Lei Si Yanhui Guo Tong Jin School of Information Science and Technology North China University of TechnologyBeijing100144China Department of Computer Science University of Illinois SpringfieldSpringfieldUSA

In recent years,the number of exposed vulnerabilities has grown rapidly and more and more attacks occurred to intrude on the target computers using these vulnerabilities such as different *** detection has attracted more attention and still faces severe *** malware detection based traditional machine learning relies on exports’experience to design efficient features to distinguish different malware,it causes bottleneck on feature engineer and is also time-consuming to find efficient *** to its promising ability in automatically proposing and selecting significant features,deep learning has gradually become a research *** this paper,aiming to detect the malicious payload and identify their categories with high accuracy,we proposed a packet-based malicious payload detection and identification algorithm based on object detection deep learning network.A dataset of malicious payload on code execution vulnerability has been constructed under the Metasploit framework and used to evaluate the performance of the proposed malware detection and identification *** experimental results demonstrated that the proposed object detection network can efficiently find and identify malicious payloads with high accuracy.

关键词： Intrusion detection malicious payload deep learning object detection network

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：