A. Srilakshmi, P. MohanaPriya, D. Harini, K. Geetha
{"title":"基于物联网的智能医疗系统防止SDN中的安全攻击","authors":"A. Srilakshmi, P. MohanaPriya, D. Harini, K. Geetha","doi":"10.1109/ICEES.2019.8719236","DOIUrl":null,"url":null,"abstract":"In the era of Internet of things world and the advancement of communication technologies which lead to a great development in health care. Since there is a hasty growth in electronic devices mainly sensors, smart phones communication has been made wireless and become a basic need for day-to -day life. This Internet of Things which makes use of sensors and communication technologies (i.e)., Wireless Sensor Networks can be connected and communicated with a human to detect the disease. This requires the intervention of cloud technology which enables on demand computing for Internet of Things data. The sensors which are connected to physical environment senses the values based on the source to which it is connected and those values are captured to the cloud. The cloud serves as a good health care platform for analytics, security of the sensed medical data. The collected health reports are generated on top of Software Defined Networking in which the SDN controller is incorporated at the Amazon cloud. The confidential health reports existing in the cloud should be free from network security attacks. Immediate alerts could be sent to the nurse or doctor based on the sensed information. Many diseases can be detected earlier and proper drug can be suggested to the patient in the absence of health care specialist. In this work number of sensors has been collected that is used in medical field and what service is provided by the targeted cloud is relevant to medical field.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"IoT based Smart Health Care System to Prevent Security Attacks in SDN\",\"authors\":\"A. Srilakshmi, P. MohanaPriya, D. Harini, K. Geetha\",\"doi\":\"10.1109/ICEES.2019.8719236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the era of Internet of things world and the advancement of communication technologies which lead to a great development in health care. Since there is a hasty growth in electronic devices mainly sensors, smart phones communication has been made wireless and become a basic need for day-to -day life. This Internet of Things which makes use of sensors and communication technologies (i.e)., Wireless Sensor Networks can be connected and communicated with a human to detect the disease. This requires the intervention of cloud technology which enables on demand computing for Internet of Things data. The sensors which are connected to physical environment senses the values based on the source to which it is connected and those values are captured to the cloud. The cloud serves as a good health care platform for analytics, security of the sensed medical data. The collected health reports are generated on top of Software Defined Networking in which the SDN controller is incorporated at the Amazon cloud. The confidential health reports existing in the cloud should be free from network security attacks. Immediate alerts could be sent to the nurse or doctor based on the sensed information. Many diseases can be detected earlier and proper drug can be suggested to the patient in the absence of health care specialist. In this work number of sensors has been collected that is used in medical field and what service is provided by the targeted cloud is relevant to medical field.\",\"PeriodicalId\":421791,\"journal\":{\"name\":\"2019 Fifth International Conference on Electrical Energy Systems (ICEES)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Fifth International Conference on Electrical Energy Systems (ICEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEES.2019.8719236\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEES.2019.8719236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
IoT based Smart Health Care System to Prevent Security Attacks in SDN
In the era of Internet of things world and the advancement of communication technologies which lead to a great development in health care. Since there is a hasty growth in electronic devices mainly sensors, smart phones communication has been made wireless and become a basic need for day-to -day life. This Internet of Things which makes use of sensors and communication technologies (i.e)., Wireless Sensor Networks can be connected and communicated with a human to detect the disease. This requires the intervention of cloud technology which enables on demand computing for Internet of Things data. The sensors which are connected to physical environment senses the values based on the source to which it is connected and those values are captured to the cloud. The cloud serves as a good health care platform for analytics, security of the sensed medical data. The collected health reports are generated on top of Software Defined Networking in which the SDN controller is incorporated at the Amazon cloud. The confidential health reports existing in the cloud should be free from network security attacks. Immediate alerts could be sent to the nurse or doctor based on the sensed information. Many diseases can be detected earlier and proper drug can be suggested to the patient in the absence of health care specialist. In this work number of sensors has been collected that is used in medical field and what service is provided by the targeted cloud is relevant to medical field.