Physiological Biometric an Adequate Security Measure for IoT Applications

Meenakshi Srivastava
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Abstract

Unforeseen upsurge in demand of smart electronic equipment and IoT has bestowed upon the IT fraternity a responsibility to develop a framework which can have control over access and transmission of client's private information. Though the IoT devices use a various types of protocols and standards for authentication but the scenario still demands for a better solution. In present study author has presented a detailed study of available biometric authentications which can be applied on IoT devices to provide a better secure system. Human biometric qualities, for example, confront, finger, iris examining, voice, signature have been discussed and a novel algorithm has been proposed which generate a unique encryption key to be used for authentication of IoT devices
生理生物识别是物联网应用的适当安全措施
智能电子设备和物联网需求的不可预见的激增赋予了IT界一种责任,即开发一个可以控制访问和传输客户私人信息的框架。虽然物联网设备使用各种类型的协议和标准进行身份验证,但该场景仍然需要更好的解决方案。在目前的研究中,作者详细研究了可用的生物识别认证,可应用于物联网设备,以提供更好的安全系统。讨论了人体生物特征,例如面部识别、手指、虹膜检查、声音、签名,并提出了一种新的算法,该算法生成唯一的加密密钥,用于物联网设备的认证
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