학술논문

Cloud Computing, Big Data, and Secure Data Sharing enabled through Internet of Things
Document Type
Conference
Source
2023 Global Conference on Information Technologies and Communications (GCITC) Information Technologies and Communications (GCITC), 2023 Global Conference on. :1-6 Dec, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Cloud computing
Big Data
Encryption
Security
Internet of Things
Information technology
Testing
Big data
Internet of things
Data sharing
Encryption technique
Language
Abstract
The security issues of data and information have grown extremely significant in the context of the accelerated growth of information technology. In everyday web browsing or interactions, information and data may be compromised. When sharing data, it is important to examine the security features of the secure data-sharing system. The purpose of this paper is to investigate the security mechanisms of cloud computing-oriented big data sharing systems in the Internet of Things age. This paper introduced the attribute-driven encryption (ADE) technique, provided an in-depth description of the ADE technique, and examined security issues in cloud computing big data sharing. According to the testing data, the ADE technique consumes a mean of 11 seconds with five attempts, while the additional 2 approaches use 51.8 & 31.6 seconds, respectively ADEs use lesser duration and are far more effective than the additional 2 techniques for various encryption values beneath identical data. As a result, ADE techniques must possess a competitive edge.