An Algorithm to Increase the Attached Complexity and Time Consumption for Iot Healthcare Applications Based on the Truncated Quantum Hashed Method

Abstract

Internet of Things (IoT) implementations have been used in numerous healthcare domains. The majority of smart devices are connected, including the automatic environment in which such systems operate. Security and privacy have emerged as major challenges for IoT management. Recently published research has revealed the effectiveness of Elliptic Curve Cryptography (ECC) techniques are very useful for undertaking security research and evaluation of IoT applications and have numerous advantages over further techniques. The objective of this research paper is to suggest options for where to improve the encryption system in the ECC technique, with numerous optimization techniques to prepare the best enhancement of the light-weight algorithm. Our primary focus is on enhancing the Truncated Quantum Hashed Signature (TQHS) methods to increase the complexity of the adaptation and reduce the time utilization of the ECC encryption model. A hybrid data encryption architecture model integrating an ECC model with a TQHS-based architecture design to develop a lightweight encryption technology and the proposed Truncated Quantum Hashed Signature method integrates a random Hashed Signature methodology with a key generation model to improve security complexity. Second, from the standpoint of IoT security systems, Comparison and estimation of memory consumption and time complexity analyses to increase privacy and security. Lastly, we enhance the encryption system parameters in the ECC method. In the proposed work, we present a novel model of random key formation for the ECC to improve the model as a lightweight architecture.