检索结果-南通市图书馆

Association RuleMining Frequent-Pattern-Based Intrusion Detection in Network

Computer Systems Science & Engineering 2023年第2期44卷 1617-1631页

作者： S.Sivanantham V.Mohanraj Y.Suresh J.Senthilkumar Department of Information Technology Adhiyamaan College of EngineeringHosurTamilnaduIndia Department of Information Technology Sona College of TechnologySalemTamilnaduIndia

In the network security system,intrusion detection plays a signiﬁcant *** network security system detects the malicious actions in the network and also conforms the availability,integrity and conﬁdentiality of data informa-tion *** identiﬁcation system can easily detect the false positive *** large number of false positive alerts are created then it makes intrusion detection system as difﬁcult to differentiate the false positive alerts from genuine *** research works have been *** issues in the existing algo-rithms are more memory space and need more time to execute the transactions of *** paper proposes a novel framework of network security Intrusion Detection System(IDS)using Modiﬁed Frequent Pattern(MFP-Tree)via K-means *** accuracy rate of Modiﬁed Frequent Pattern Tree(MFPT)-K means method inﬁnding the various attacks are Normal 94.89%,for DoS based attack 98.34%,for User to Root(U2R)attacks got 96.73%,Remote to Local(R2L)got 95.89%and Probe attack got 92.67%and is optimal when it is compared with other existing algorithms of K-Means and APRIORI.

关键词： IDS K-means frequent pattern tree false alert mining L1-norm

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

An enhanced least squares residual RAIM algorithm based on optimal decentralized factor

引用

Chinese Journal of Aeronautics 2020年第12期33卷 3369-3379页

作者： Guanghui SUN Chengdong XU Dan SONG Yimei JIAN School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China School of Electronic and Information Engineering Beihang UniversityBeijing 100191China

The Least Squares Residual(LSR)algorithm is commonly used in the Receiver Autonomous Integrity Monitoring(RAIM).However,LSR algorithm presents high Missed Detection Risk(MDR)caused by a large-slope faulty satellite and high false alert Risk(FAR)caused by a small-slope faulty *** this paper,the LSR algorithm is improved to reduce the MDR for a large-slope faulty satellite and the FAR for a small-slope faulty *** on the analysis of the vertical critical slope,the optimal decentralized factor is defined and the optimal test statistic is conceived,which can minimize the FAR with the premise that the MDR does not exceed its allowable value of all three *** construct a new test statistic approximating to the optimal test statistic,the Optimal Decentralized Factor weighted LSR(ODF-LSR)algorithm is *** new test statistic maintains the sum of pseudo-range residual squares,but the specific pseudo-range residual is weighted with a parameter related to the optimal decentralized *** new test statistic has the same decentralized parameter with the optimal test statistic when single faulty satellite exists,and the difference between the expectation of the new test statistic and the optimal test statistic is the minimum when no faulty satellite *** performance of the ODFLSR algorithm is demonstrated by simulation experiments.

关键词： false alert Least squares residual(LSR)algorithm Missed detection Receiver autonomous integrity monitoring(RAIM) Slope

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

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

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

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：