Test and Analysis of Hybrid Security Technique for IoT
Developing strong security plans for IoT devices is essential. IoT devices can be vulnerable to cyber-attacks. For this reason, they should be secure. A strong identity will protect them from any malicious activity. For example, the device should only communicate with the systems it controls, and its data should be stored in a secure location. It should be encrypted from the moment it is connected and securely stored. The device must be secured by a third party to avoid unauthorized access to sensitive information.There are currently no standardizations in place. Furthermore, massive data sources such as sensorsplaced in IoT applications produce huge data, necessitating the usage of more lightweight cryptographic systems. When Diffie Hellman and Elliptic Curve (EC-DH) were integrated, Diffie Hellman became an ideal solution for security and lightweight data exchange for linked devices in IoT scenarios. These improvements, addressing IoT security issues are still vulnerable. To address this problem, we present a Hybrid Technique that provides enhanced security for IoT scenarios. We looked at a case study in the healthcare business for anomaly identification. The experimental configuration includes the Adafruit IO cloud, Watson IoT platform, and Protocols such as MQTT and XMPP. Experiments proved the scheme's effectiveness, as it brings a greater level of security while also enhancing IoT parameters related to uploading, download, encryption-decryption. Real-time IoT applications can benefit from the proposed strategy.