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}
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.