Sixth-Generation (6G) Mobile Cloud Security and Privacy Risks for AI System Using High-Performance Computing Implementation

Abstract

The exchange of information from one person to another is called communication. Telecommunication makes it possible with electronic devices and their tools. The scientist Alexander Graham Bell has invented the basic telephone in 1876 in the USA. Telephones now have the new format in the form of mobile phones, which are the primary media for communicating and transmitting data. We are using 5th-generation mobile network standards. Still, there are some requirements for the users that are believed to be solved in the 6th-generation mobile network standards. By 2030, all of the people would be using 6G. The computing model in the cloud is not dependent on either the location or any specific device that would provide the service. It is an on-demand computational service-oriented mechanism. Combining these two technologies as mobile cloud computing provides customized options with more flexible implementations. Artificial intelligence is being used in devices in many fields. AI can be used in mobile network services (MNS) to provide more reliable and customized services to the users, such as network operation monitoring, network operation management, fraud detection, and reduction in mobile transactions and security to the cyber devices. Combining cloud with AI in mobile network services in the 6th generation would improve human beings’ lives, such as zero road accidents, advanced level special health care, and zero crime rates in society. However, the most vital needs for sixth-generation standards are the capability to manage large volumes of records and excessive-statistics-fee connectivity in step with gadgets. The sixth-generation mobile network is under development. This generation has many exciting features. Security is the central issue that needs to be sorted out using appropriate forensic mechanisms. There is a need to approach high-performance computing for improved services to the end-user. Considering three-dimensional research methodologies (technical dimension, organizational dimension, and applications hosted on the cloud) in a high-performance computing environment leads to two different cases such as real-time stream processing and remote desktop connection and performance test. By ‘narrowing the targeted worldwide audience with a wide range of experiential opportunities,’ this paper is aimed at delivering dynamic and varied resource allocation for reliable and justified on-demand services.

Performance Art Video Action Management Oriented to 6G Wireless Transmission Technology

“…Software-Defined Network Architecture. At present, the definition of software grid technology has already had a certain basic research [31][32][33][34].…”

Network Privacy and Security Issues in 5G and 6G

“…It has been improved to help with cutting-edge customer encounters, innovative sending techniques, and administration delivery 24 . With its fast speeds, great reliability, and low barrier properties, 5G will propel the diverse biological system to new heights 25 . Each industry will be influenced by 5G, with more secure transportation, far off medical services, exact agribusiness, advanced coordination, and seriously turning into a reality 26 .…”

Ethical perspective on AI hazards to humans: A review

“…This may include strengthening data privacy protection, developing stricter regulations and standards, and increasing the transparency and explainability of algorithms. [ 14 , 15 ] Only by effectively managing and controlling these risks can we fully leverage the advantages of AI technology, achieve more value, and drive innovation.…”