Abstract

Currently available modern medical system generates large amounts of data, such as computerized patient data and digital medical pictures, which must be kept securely for future reference. Existing storage technologies are not capable of storing large amounts of data efficiently. It is a key and abrogating topic of specialized, social, and medical significance and a key and abrogating subject of general interest. The results of cars, purchasers, and Internet of Things industry-based and essential segments, sensors, and other daily objects are fused with a network of the Internet and solid information abilities that promise to alter the way we operate and live future. The suggested work demonstrates a symmetric-key lightweight technique for secure data transmission of images and text, which uses an image encryption system and a reversible data hiding system to demonstrate the program's implementation. On the other hand, cloud storage services can meet demand due to features such as flexibility and availability. Cloud computing is enabled by amazing internet innovation as well as cutting-edge electrical equipment. Even though medical images may be stored on the cloud, most cloud service providers only save client data in plain text. As part of their overall strategy, cloud users must take responsibility for protecting medical data. Because attackers' increasing computing power and creativity are opening up more and more areas in this mathematical form, most existing image encryption schemes are vulnerable to the plaintext attack of choice. This article presents an image encryption method inspired by an Adaptive IoT-based Hopfield Neural Network (AIHNN) that can resist other assaults while optimizing and improving the system through continuous learning and updating.

Highlights

  • There have been enormous improvements in Information Technology (IT) and analytics during the last several years

  • This study aims to develop and evaluate lightweight and asymmetric block cipher-based cryptosystems that are suitable with MANET, Internet of Things (IoT), and wireless communication devices to achieve data security while maintaining quality control

  • The consolidation of computers, sensors, and systems to pass the report on and control devices have been around for a long time, but as significant technological and business trends advance, the "Internet of Things" is experiencing a new www.ijacsa.thesai.org phenomenon known as the "Internet of Things." A progressive, fully linked world is promised by the Internet of Things, connecting different things and their surroundings and between articles and people becoming increasingly securely connected over time

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Summary

Introduction

There have been enormous improvements in Information Technology (IT) and analytics during the last several years. Cloud computing is one kind of technology that many businesses use for the hosting of their apps and data storage. Modern gadgets, which allow for digitalized data exchange, have established a new standard for transmitting information globally, regardless of the application. The information is shared with the public. Information sharing across different companies, medical imaging system users, has increased in recent years, resulting in novel storage methods such as cloud edge [1]. Many online services, such as ecommerce, telemedicine, electronic payment access, and social networking sites are hosted on the cloud

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