基于危险理论的DoS双层检测

Junmin Zhang, Yiwen Liang
{"title":"基于危险理论的DoS双层检测","authors":"Junmin Zhang, Yiwen Liang","doi":"10.1109/ICCMS.2009.63","DOIUrl":null,"url":null,"abstract":"As one of the most common network attacks, Denial of service (DoS) usually uses reasonable service requests to take excessive computing and network resources, thus causes the legitimate users to be unable to obtain the service responses. But now little research has performed within the area. This aim of the paper is to develop a double layers detection system for DoS based on the DCs (Dendritic Cells) – T cells interaction mechanism of the Danger Theory in immunology. DCs fuse the multiple signals and present the correlated antigens to T cells, and T cells are responsible for the detection for the structure of the antigens. A large number of semi-connections can be viewed as antigens and the corresponding behavior information of the system and network triggered by these semi-connections can be viewed as signals. The theoretic analysis shows that the method of DCs emphasizing the detection of the signals and T cell emphasizing the detection of the corresponding antigens has a good prospect in the application of DoS detection.","PeriodicalId":325964,"journal":{"name":"2009 International Conference on Computer Modeling and Simulation","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A Double Layers Detection for DoS Based on the Danger Theory\",\"authors\":\"Junmin Zhang, Yiwen Liang\",\"doi\":\"10.1109/ICCMS.2009.63\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As one of the most common network attacks, Denial of service (DoS) usually uses reasonable service requests to take excessive computing and network resources, thus causes the legitimate users to be unable to obtain the service responses. But now little research has performed within the area. This aim of the paper is to develop a double layers detection system for DoS based on the DCs (Dendritic Cells) – T cells interaction mechanism of the Danger Theory in immunology. DCs fuse the multiple signals and present the correlated antigens to T cells, and T cells are responsible for the detection for the structure of the antigens. A large number of semi-connections can be viewed as antigens and the corresponding behavior information of the system and network triggered by these semi-connections can be viewed as signals. The theoretic analysis shows that the method of DCs emphasizing the detection of the signals and T cell emphasizing the detection of the corresponding antigens has a good prospect in the application of DoS detection.\",\"PeriodicalId\":325964,\"journal\":{\"name\":\"2009 International Conference on Computer Modeling and Simulation\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Computer Modeling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMS.2009.63\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Computer Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMS.2009.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

拒绝服务攻击(Denial of service, DoS)是一种最常见的网络攻击,通常利用合理的服务请求占用大量的计算资源和网络资源,导致合法用户无法获得服务响应。但目前在这一领域进行的研究很少。基于免疫学危险理论中的dc(树突状细胞)- T细胞相互作用机制,开发DoS双层检测系统。dc融合多种信号并将相关抗原呈递给T细胞,T细胞负责检测抗原的结构。大量的半连接可以看作抗原,这些半连接所触发的系统和网络相应的行为信息可以看作信号。理论分析表明,dc强调信号检测,T细胞强调相应抗原检测的方法在DoS检测中具有良好的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Double Layers Detection for DoS Based on the Danger Theory
As one of the most common network attacks, Denial of service (DoS) usually uses reasonable service requests to take excessive computing and network resources, thus causes the legitimate users to be unable to obtain the service responses. But now little research has performed within the area. This aim of the paper is to develop a double layers detection system for DoS based on the DCs (Dendritic Cells) – T cells interaction mechanism of the Danger Theory in immunology. DCs fuse the multiple signals and present the correlated antigens to T cells, and T cells are responsible for the detection for the structure of the antigens. A large number of semi-connections can be viewed as antigens and the corresponding behavior information of the system and network triggered by these semi-connections can be viewed as signals. The theoretic analysis shows that the method of DCs emphasizing the detection of the signals and T cell emphasizing the detection of the corresponding antigens has a good prospect in the application of DoS detection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Sample of Stochastic Simulation of an Automatic Teller Machine Multiresolution Animated Models Generation Based on Deformation Distance Analysis Study on Technique of 3D Imaging-Based DEM and Massive Orthograph Airspace Capacity Management Based on Control Workload and Coupling Constraints between Airspaces Self-adaptive Wheel-side Independent Driving System with Active Suspension
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1