期刊
SENSORS
卷 23, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/s23115055
关键词
genetic algorithm; cryptography; wireless sensor networks; authentication; IoT; remote patients monitoring system; intelligent healthcare
The Internet of Things (IoT) employs wireless networks to deploy numerous wireless sensors for tracking system, physical, and environmental factors. This study proposes an intelligent healthcare system using nano sensors to collect real-time health status and transfer it to the doctor's server. A genetic-based encryption method is advocated for protecting data transmission over wireless channels, and an authentication procedure is proposed for user access to the data channel.
The Internet of Things (IoT) uses wireless networks without infrastructure to install a huge number of wireless sensors that track system, physical, and environmental factors. There are a variety of WSN uses, and some well-known application factors include energy consumption and lifespan duration for routing purposes. The sensors have detecting, processing, and communication capabilities. In this paper, an intelligent healthcare system is proposed which consists of nano sensors that collect real-time health status and transfer it to the doctor's server. Time consumption and various attacks are major concerns, and some existing techniques contain stumbling blocks. Therefore, in this research, a genetic-based encryption method is advocated to protect data transmitted over a wireless channel using sensors to avoid an uncomfortable data transmission environment. An authentication procedure is also proposed for legitimate users to access the data channel. Results show that the proposed algorithm is lightweight and energy efficient, and time consumption is 90% lower with a higher security ratio.
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