版权说明 操作指南
首页 > 成果 > 详情

Research on intrusion detection method based on neural network

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
Xu Chi*;Zhang Wen Fang
通讯作者:
Xu Chi
作者机构:
[Xu Chi] Hunan City Univ, Network Ctr, Yiyang, Peoples R China.
[Zhang Wen Fang] Hunan City Univ, Yiyang, Peoples R China.
通讯机构:
[Xu Chi] H
Hunan City Univ, Network Ctr, Yiyang, Peoples R China.
语种:
英文
关键词:
Intrusion detection;Neural networks;Access control
期刊:
Advanced Materials Research
ISSN:
1022-6680
年:
2012
卷:
403-408
页码:
1483-1486
会议名称:
7th International Conference on MEMS, NANO and Smart Systems (ICMENS 2011)
会议论文集名称:
Advanced Materials Research
会议时间:
NOV 04-06, 2011
会议地点:
Kuala Lumpur, MALAYSIA
会议主办单位:
[Xu Chi] Hunan City Univ, Network Ctr, Yiyang, Peoples R China.^[Zhang Wen Fang] Hunan City Univ, Yiyang, Peoples R China.
会议赞助商:
Int Assoc Comp Sci & Informat Technol, Singapore Inst Elect
主编:
Yuan, L
出版地:
KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
出版者:
TRANS TECH PUBLICATIONS LTD
ISBN:
978-3-03785-312-2
机构署名:
本校为第一且通讯机构
摘要:
The research of this dissertation focuses on the quantitative methodologies of the network security assessment. So the dissertation gives the term "Model-based network security risk assessment" a more meaningful definition. The methodology called a model-based will use one network security analysis model to design the scenarios of threatens according to the Patterns behaviors of vulnerabilities and threatens in the network. And then the risk assessment will be done under those scenarios. Following this new definition. The dissertation Proposes a Component-centric A...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com