Security and Privacy for Future Healthcare IoT

Abstract

Computer networks are widely used in today's society, and we utilize the Internet to connect to our home networks. IoT networks are a brand-new category of these networks where we attempt to connect various household equipment and attempt to issue orders from a distance. Hash code or message authentication code (MAC) is used for authentication, and several encryptions and decryption techniques guarantee secrecy. The cost of using traditional cryptographic security techniques in terms of computing resources like memory, processor power, and power consumption is high. There is no proper model/ framework available to address the major security issues of IoT devices. The literature address that still several gaps exist regarding security issues. To secure and protect future healthcare IoT systems, this research will provide a model that combines shallow learning with deep learning.