Aditya Rajagopalan, M. Jagga, Anju Kumari, Syed Taqi Ali
{"title":"医疗物联网中会话恢复SEA架构的DDoS防护方案","authors":"Aditya Rajagopalan, M. Jagga, Anju Kumari, Syed Taqi Ali","doi":"10.1109/CIACT.2017.7977361","DOIUrl":null,"url":null,"abstract":"We propose a scheme for DDoS prevention in session resumption based end-to-end security for healthcare Internet of Things. In the proposed scheme a certificate based DTLS handshake takes place for mutual authentication between Smart e-Health Gateway and client. The end-to-end communication between client and medical sensors is susceptible to replay and DDoS attacks, and the communication is made secure by ensuring all requests to the medical sensor are sent through the Smart e-Health Gateways in the fog layer. This model not only makes the communication more secure, but also reduces the load on the resource-constrained medical sensors.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A DDoS prevention scheme for session resumption SEA architecture in healthcare IoT\",\"authors\":\"Aditya Rajagopalan, M. Jagga, Anju Kumari, Syed Taqi Ali\",\"doi\":\"10.1109/CIACT.2017.7977361\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a scheme for DDoS prevention in session resumption based end-to-end security for healthcare Internet of Things. In the proposed scheme a certificate based DTLS handshake takes place for mutual authentication between Smart e-Health Gateway and client. The end-to-end communication between client and medical sensors is susceptible to replay and DDoS attacks, and the communication is made secure by ensuring all requests to the medical sensor are sent through the Smart e-Health Gateways in the fog layer. This model not only makes the communication more secure, but also reduces the load on the resource-constrained medical sensors.\",\"PeriodicalId\":218079,\"journal\":{\"name\":\"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIACT.2017.7977361\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIACT.2017.7977361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A DDoS prevention scheme for session resumption SEA architecture in healthcare IoT
We propose a scheme for DDoS prevention in session resumption based end-to-end security for healthcare Internet of Things. In the proposed scheme a certificate based DTLS handshake takes place for mutual authentication between Smart e-Health Gateway and client. The end-to-end communication between client and medical sensors is susceptible to replay and DDoS attacks, and the communication is made secure by ensuring all requests to the medical sensor are sent through the Smart e-Health Gateways in the fog layer. This model not only makes the communication more secure, but also reduces the load on the resource-constrained medical sensors.