时延容忍网络中基于参考的黑洞攻击缓解方法

Garima Gupta, P. Nagrath, Sandhya Aneja, Neelima Gupta
{"title":"时延容忍网络中基于参考的黑洞攻击缓解方法","authors":"Garima Gupta, P. Nagrath, Sandhya Aneja, Neelima Gupta","doi":"10.1145/2387218.2387237","DOIUrl":null,"url":null,"abstract":"Probabilities and social behaviour are two common criteria used to route a message in disruption/delay tolerant network wherein there is only intermittent connectivity between the nodes. In this article we first discuss how the characteristics of these routing algorithms can be exploited by a malicious node to attract data packets and then dropping them to degrade the network performance. We then show the impact of such a behaviour called blackhole attack on DSG [2] as it leverages both the social behaviour as well as the delivery probabilities to make the forwarding decisions.\n We present three solutions to mitigate black hole attacks. The first algorithm mitigates non collaborating blackhole nodes. In the second algorithm, we present a solution that handles collaborating blackhole nodes. The first two algorithms handle only the external attacks. It does not handle the scenario in which a node that is good initially and becomes malicious or selfish later. Finally, we present our third algorithm which handles collaborative blackholes as well as internal attacks. We validate the performance of our algorithms through extensive simulation in ONE simulator.","PeriodicalId":369459,"journal":{"name":"Q2S and Security for Wireless and Mobile Networks","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Reference based approach to mitigate blackhole attacks in delay tolerant networks\",\"authors\":\"Garima Gupta, P. Nagrath, Sandhya Aneja, Neelima Gupta\",\"doi\":\"10.1145/2387218.2387237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Probabilities and social behaviour are two common criteria used to route a message in disruption/delay tolerant network wherein there is only intermittent connectivity between the nodes. In this article we first discuss how the characteristics of these routing algorithms can be exploited by a malicious node to attract data packets and then dropping them to degrade the network performance. We then show the impact of such a behaviour called blackhole attack on DSG [2] as it leverages both the social behaviour as well as the delivery probabilities to make the forwarding decisions.\\n We present three solutions to mitigate black hole attacks. The first algorithm mitigates non collaborating blackhole nodes. In the second algorithm, we present a solution that handles collaborating blackhole nodes. The first two algorithms handle only the external attacks. It does not handle the scenario in which a node that is good initially and becomes malicious or selfish later. Finally, we present our third algorithm which handles collaborative blackholes as well as internal attacks. We validate the performance of our algorithms through extensive simulation in ONE simulator.\",\"PeriodicalId\":369459,\"journal\":{\"name\":\"Q2S and Security for Wireless and Mobile Networks\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Q2S and Security for Wireless and Mobile Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2387218.2387237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Q2S and Security for Wireless and Mobile Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2387218.2387237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

概率和社会行为是两个常用的标准,用于路由中断/延迟容忍网络中的消息,其中只有节点之间的间歇性连接。在本文中,我们首先讨论恶意节点如何利用这些路由算法的特征来吸引数据包,然后丢弃它们以降低网络性能。然后,我们展示了这种被称为黑洞攻击的行为对DSG[2]的影响,因为它利用了社会行为和交付概率来做出转发决策。我们提出了三种缓解黑洞攻击的解决方案。第一种算法减轻了非协作黑洞节点。在第二种算法中,我们提出了一种处理协作黑洞节点的解决方案。前两种算法只处理外部攻击。它不处理这样的场景:一个节点最初是好的,后来变得恶意或自私。最后,我们提出了第三种处理协同黑洞和内部攻击的算法。我们通过在一个模拟器中进行大量仿真来验证算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reference based approach to mitigate blackhole attacks in delay tolerant networks
Probabilities and social behaviour are two common criteria used to route a message in disruption/delay tolerant network wherein there is only intermittent connectivity between the nodes. In this article we first discuss how the characteristics of these routing algorithms can be exploited by a malicious node to attract data packets and then dropping them to degrade the network performance. We then show the impact of such a behaviour called blackhole attack on DSG [2] as it leverages both the social behaviour as well as the delivery probabilities to make the forwarding decisions. We present three solutions to mitigate black hole attacks. The first algorithm mitigates non collaborating blackhole nodes. In the second algorithm, we present a solution that handles collaborating blackhole nodes. The first two algorithms handle only the external attacks. It does not handle the scenario in which a node that is good initially and becomes malicious or selfish later. Finally, we present our third algorithm which handles collaborative blackholes as well as internal attacks. We validate the performance of our algorithms through extensive simulation in ONE simulator.
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
×
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