Simulation of a Trust and Reputation Based Mitigation Protocol for a Black Hole Style Attack on VANETs

G. Primiero, Agostino Martorana, J. Tagliabue
{"title":"Simulation of a Trust and Reputation Based Mitigation Protocol for a Black Hole Style Attack on VANETs","authors":"G. Primiero, Agostino Martorana, J. Tagliabue","doi":"10.1109/EuroSPW.2018.00025","DOIUrl":null,"url":null,"abstract":"From a security standpoint, VANETs (Vehicular ad hoc Networks) are vulnerable to attacks by malicious users, due to the decentralized and open nature of the wireless system. For many of these kinds of attacks detection is unfeasible, thus making it hard to produce security. Despite their characterization as dynamically reconfigurable networks, it is nonetheless essential to identify topology and population properties that can optimise mitigation protocols' deployment. In this paper, we provide an algorithmic definition and simulation of a trust and mitigation based protocol to contain a Black Hole style attack on a VANET. We experimentally show its optimal working conditions: total connectivity, followed by a random network; connection to external networks; early deployment of the protocol and ranking of the message. We compare results with those of existing protocols and future work shall focus on repeated broadcasting, opportunistic message forwarding and testing on real data.","PeriodicalId":326280,"journal":{"name":"2018 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuroSPW.2018.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

From a security standpoint, VANETs (Vehicular ad hoc Networks) are vulnerable to attacks by malicious users, due to the decentralized and open nature of the wireless system. For many of these kinds of attacks detection is unfeasible, thus making it hard to produce security. Despite their characterization as dynamically reconfigurable networks, it is nonetheless essential to identify topology and population properties that can optimise mitigation protocols' deployment. In this paper, we provide an algorithmic definition and simulation of a trust and mitigation based protocol to contain a Black Hole style attack on a VANET. We experimentally show its optimal working conditions: total connectivity, followed by a random network; connection to external networks; early deployment of the protocol and ranking of the message. We compare results with those of existing protocols and future work shall focus on repeated broadcasting, opportunistic message forwarding and testing on real data.
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
基于信任和声誉的黑洞型VANETs攻击缓解协议仿真
从安全的角度来看,由于无线系统的分散性和开放性,vanet(车辆自组织网络)容易受到恶意用户的攻击。对于许多这类攻击,检测是不可行的,因此很难产生安全性。尽管它们的特征是动态可重构网络,但仍然有必要确定拓扑和种群属性,以优化缓解协议的部署。在本文中,我们提供了基于信任和缓解的协议的算法定义和模拟,以包含对VANET的黑洞式攻击。我们通过实验证明了它的最佳工作条件:完全连接,其次是随机网络;连接外部网络;协议的早期部署和消息的排序。我们将结果与现有协议的结果进行了比较,未来的工作将集中在重复广播、机会消息转发和真实数据测试上。
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
FP -TESTER : Automated Testing of Browser Fingerprint Resilience The Secret Processor Will Go to the Ball: Benchmark Insider-Proof Encrypted Computing The Impact of Uncle Rewards on Selfish Mining in Ethereum Privacy Compliance Via Model Transformations Inferring OpenVPN State Machines Using Protocol State Fuzzing
×
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