{"title":"AODV路由协议中基于Agent的黑洞检测技术","authors":"Heerendra Mahore, Ratish Agrawal, Roopam K. Gupta","doi":"10.1109/ICACAT.2018.8933634","DOIUrl":null,"url":null,"abstract":"Wireless Ad-hoc network is a dynamic network without any physical architecture in which each and every node participating in the network and may exit at any moment. Because of the nature of its simplicity and adaptability, a wireless network is widely employed in military communications, emergency communications, academic goals and mobile conferences. Due to the dynamic nature of the Adhoc network, it is prone to attacks. So, there are always security issues related to the wireless network because any node may enter into the network anytime or may leave anytime with authentication. So, there is always a chance that malicious node may enter into the network and hampers the communication system of the entire network. One among them is the black hole attack. The black hole affects the entire network with its malicious behaviour while checking out the communication path between source and destination. For connection, establishment RREQ message is transmitted from the source node and they will wait for RRRP. For each RREQ received, the black hole nodes send the source node fake RREP. The origin node responds to fake RREPs and sends their data by the path described in the fake RREP which ultimately may result in packet drop or alteration of the packets by black hole nodes. This research work designed a detection technique to avoid black hole attacks and improve network performance. In this work, an adaptive technique based on the AODV routing protocol is presented upon request. In this analysis, Some of the sender nodes are assigned a task of the agent that checks the incoming route reply message for the destination nodes and avoid malicious node in the network. The resulting analysis shows that packet delivery ratio had increased with detection technique as compared to without detection technique i.e. blackhole condition.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"37 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Agent Based Black Hole Detection Technique in AODV Routing Protocol\",\"authors\":\"Heerendra Mahore, Ratish Agrawal, Roopam K. Gupta\",\"doi\":\"10.1109/ICACAT.2018.8933634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless Ad-hoc network is a dynamic network without any physical architecture in which each and every node participating in the network and may exit at any moment. Because of the nature of its simplicity and adaptability, a wireless network is widely employed in military communications, emergency communications, academic goals and mobile conferences. Due to the dynamic nature of the Adhoc network, it is prone to attacks. So, there are always security issues related to the wireless network because any node may enter into the network anytime or may leave anytime with authentication. So, there is always a chance that malicious node may enter into the network and hampers the communication system of the entire network. One among them is the black hole attack. The black hole affects the entire network with its malicious behaviour while checking out the communication path between source and destination. For connection, establishment RREQ message is transmitted from the source node and they will wait for RRRP. For each RREQ received, the black hole nodes send the source node fake RREP. The origin node responds to fake RREPs and sends their data by the path described in the fake RREP which ultimately may result in packet drop or alteration of the packets by black hole nodes. This research work designed a detection technique to avoid black hole attacks and improve network performance. In this work, an adaptive technique based on the AODV routing protocol is presented upon request. In this analysis, Some of the sender nodes are assigned a task of the agent that checks the incoming route reply message for the destination nodes and avoid malicious node in the network. The resulting analysis shows that packet delivery ratio had increased with detection technique as compared to without detection technique i.e. blackhole condition.\",\"PeriodicalId\":6575,\"journal\":{\"name\":\"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)\",\"volume\":\"37 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACAT.2018.8933634\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACAT.2018.8933634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Agent Based Black Hole Detection Technique in AODV Routing Protocol
Wireless Ad-hoc network is a dynamic network without any physical architecture in which each and every node participating in the network and may exit at any moment. Because of the nature of its simplicity and adaptability, a wireless network is widely employed in military communications, emergency communications, academic goals and mobile conferences. Due to the dynamic nature of the Adhoc network, it is prone to attacks. So, there are always security issues related to the wireless network because any node may enter into the network anytime or may leave anytime with authentication. So, there is always a chance that malicious node may enter into the network and hampers the communication system of the entire network. One among them is the black hole attack. The black hole affects the entire network with its malicious behaviour while checking out the communication path between source and destination. For connection, establishment RREQ message is transmitted from the source node and they will wait for RRRP. For each RREQ received, the black hole nodes send the source node fake RREP. The origin node responds to fake RREPs and sends their data by the path described in the fake RREP which ultimately may result in packet drop or alteration of the packets by black hole nodes. This research work designed a detection technique to avoid black hole attacks and improve network performance. In this work, an adaptive technique based on the AODV routing protocol is presented upon request. In this analysis, Some of the sender nodes are assigned a task of the agent that checks the incoming route reply message for the destination nodes and avoid malicious node in the network. The resulting analysis shows that packet delivery ratio had increased with detection technique as compared to without detection technique i.e. blackhole condition.