Effect of Learning and Database in Robustness of Security Tools: Based on Immune System Modeling

T. Banirostam, M. Fesharaki
{"title":"Effect of Learning and Database in Robustness of Security Tools: Based on Immune System Modeling","authors":"T. Banirostam, M. Fesharaki","doi":"10.1109/EMS.2011.36","DOIUrl":null,"url":null,"abstract":"Increasing complexity and dynamics of systems has reduced the efficiency of security tools. For overcoming this problem, security tools introduce newer patches, thereby the size of database and computation overloads are increased. By Biological Immune System (BIS) modeling and simulation, its behavior in different situations will be considered and the effect of database size and learning ability in robustness of the BIS will be evaluated. For the BIS modeling and simulation, Biological Agent will be introduced and a Multi Agent System in Net logo software has been designed. According the results of simulation, the effect of learning rate in different states in system's robustness has been evaluated. Furthermore, robustness of the systems with different sizes of database in the initial state has been considered. After all, the effect these two parameters on the BIS robustness have been illustrated and compared.","PeriodicalId":131364,"journal":{"name":"2011 UKSim 5th European Symposium on Computer Modeling and Simulation","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 UKSim 5th European Symposium on Computer Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMS.2011.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Increasing complexity and dynamics of systems has reduced the efficiency of security tools. For overcoming this problem, security tools introduce newer patches, thereby the size of database and computation overloads are increased. By Biological Immune System (BIS) modeling and simulation, its behavior in different situations will be considered and the effect of database size and learning ability in robustness of the BIS will be evaluated. For the BIS modeling and simulation, Biological Agent will be introduced and a Multi Agent System in Net logo software has been designed. According the results of simulation, the effect of learning rate in different states in system's robustness has been evaluated. Furthermore, robustness of the systems with different sizes of database in the initial state has been considered. After all, the effect these two parameters on the BIS robustness have been illustrated and compared.
基于免疫系统建模的学习和数据库对安全工具鲁棒性的影响
系统的复杂性和动态性的增加降低了安全工具的效率。为了克服这个问题,安全工具引入了更新的补丁,从而增加了数据库的大小和计算过载。通过对生物免疫系统(BIS)的建模和仿真,考虑其在不同情况下的行为,评估数据库大小和学习能力对BIS鲁棒性的影响。针对BIS的建模与仿真,引入了生物Agent,并设计了一个基于Net的多Agent系统logo软件。根据仿真结果,评价了不同状态下的学习率对系统鲁棒性的影响。此外,还考虑了不同数据库大小的系统在初始状态下的鲁棒性。毕竟,这两个参数对BIS稳健性的影响已经得到了说明和比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信