Formal verification of mobile agent based anomaly detection in Wireless Sensor Networks

Muhammad Usman, V. Muthukkumarasamy, Xin-Wen Wu
{"title":"Formal verification of mobile agent based anomaly detection in Wireless Sensor Networks","authors":"Muhammad Usman, V. Muthukkumarasamy, Xin-Wen Wu","doi":"10.1109/LCNW.2013.6758544","DOIUrl":null,"url":null,"abstract":"Mobile agent technology offers a number of advantages to resource constrained Wireless Sensor Networks (WSNs) by facilitating parallelism, code and data dissemination, localization, and distributed security services. As part of the second line of defense for WSNs, anomaly detection schemes are also benefiting from mobile agent technology. The formal verification can be used to validate the correctness of a system using formal specifications. This study employs Behavior Trees (BTs) for formal verification of mobile agent based anomaly detection system in WSNs. We employed BT based formal semantics to integrate the behavior projection of different components of anomaly detection system. The Symbolic Analysis Laboratory (SAL) tool is used to formally specify the behavior tree model. The analysis based on Linear Temporal Logic (LTL) theorems validates the completeness and consistency of the formal model of mobile agent based anomaly detection system.","PeriodicalId":290924,"journal":{"name":"38th Annual IEEE Conference on Local Computer Networks - Workshops","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"38th Annual IEEE Conference on Local Computer Networks - Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCNW.2013.6758544","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

Mobile agent technology offers a number of advantages to resource constrained Wireless Sensor Networks (WSNs) by facilitating parallelism, code and data dissemination, localization, and distributed security services. As part of the second line of defense for WSNs, anomaly detection schemes are also benefiting from mobile agent technology. The formal verification can be used to validate the correctness of a system using formal specifications. This study employs Behavior Trees (BTs) for formal verification of mobile agent based anomaly detection system in WSNs. We employed BT based formal semantics to integrate the behavior projection of different components of anomaly detection system. The Symbolic Analysis Laboratory (SAL) tool is used to formally specify the behavior tree model. The analysis based on Linear Temporal Logic (LTL) theorems validates the completeness and consistency of the formal model of mobile agent based anomaly detection system.
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
无线传感器网络中基于移动代理的异常检测形式化验证
移动代理技术通过促进并行性、代码和数据传播、本地化和分布式安全服务,为资源受限的无线传感器网络(wsn)提供了许多优势。作为无线传感器网络第二道防线的一部分,异常检测方案也受益于移动代理技术。形式化验证可以用来验证使用形式化规范的系统的正确性。本研究采用行为树(bt)对基于移动智能体的wsn异常检测系统进行形式化验证。采用基于BT的形式化语义对异常检测系统中不同组件的行为投影进行整合。符号分析实验室(Symbolic Analysis Laboratory, SAL)工具用于形式化地指定行为树模型。基于线性时间逻辑(LTL)定理的分析验证了基于移动智能体的异常检测系统形式化模型的完备性和一致性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An investigation into teredo and 6to4 transition mechanisms: Traffic analysis Enhancing safety messages dissemination over 802.11p/DSRC Open M2M data - Position paper Insights of file-sharing system forums Measuring the accuracy of open-source payload-based traffic classifiers using popular Internet applications
×
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