Digitalization of Healthcare with IoT and Cryptographic Encryption against DOS Attacks

Recent report says Internet usage in country has exceeded half-billion people, driven by cheap data plans thus bridging digital gap between urban and rural India Elsewhere World Health Organization (WHO) prescribed ratio of doctorpatient limit is 1:1000, but in India an average government doctor attends 11,082 people. With such shortage, future health of individuals in India seems notoriously uncertain. This provides an opportunity to intro-duce remote healthcare services allowing patients to have virtual consultations with doctors from anywhere. However, we should consider that healthcare industry faces unique challenges when it comes to the identification and authentication of medical services online. People are conscious of privacy in healthcare.This paper presents a comprehensive study of Machine Learning and advancements in Reinforcement Learning Algorithms, which help develop enhanced security methods for IoT systems. Proposed system consists of wearable sensors to collect user data and LoRaWAN to connect with the Internet. These measure pulse rate and body temperature of patient and monitor vital signs of health. A standalone local server to process raw sensor signals, display health data, and trigger alert if emergency detected. IoT cloud server implementation provides functionalities like web monitoring, mobile applications. For security services, the architecture uses data categorization function, key management services. We used Encryption to ensure secure communication and entity authentication, implemented Reinforcement Learning focusing security and privacy in IoT and considered authentication, detection and mitigation of DDoS, Man-in-Middle attacks, intrusion detection, malware analysis. Our Future research will concentrate on various security threats and solutions.